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Spurious correlation #3,646 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Multi/interdisciplinary studies and the second variable is Agilent Technologies' stock price (A).  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more people delved into the complex web of knowledge from different fields, a wave of multi-dimensional thinking swept through the workforce. This sparked an interdisciplinary innovation frenzy, with ideas bouncing around like particles in a supercollider. Agilent Technologies, feeding off this intellectual maelstrom, unleashed a series of groundbreaking, cross-pollinated products that were the Swiss army knives of the tech world. Investors, sensing the quantum leap in the company's potential, flocked to snatch up stocks faster than you can say "holistic technological synergy." In essence, the surge in Master's degrees in Multi/interdisciplinary studies set off a chain reaction, propelling Agilent Technologies to new, uncharted dimensions of success.

Model: dalle-3
Prompt: [An image of a bustling university hall, decorated in ceremonial regalia with vibrant flowers and shining trophies. The hall is filled with students wearing graduation caps and gowns, as they excitedly walk up the stage to receive their Master's degrees in multi/interdisciplinary studies. The atmosphere is charged with a sense of accomplishment and pride as the graduates celebrate their academic achievements. Adjacent to the stage, a large digital screen displays Agilent Technologies' stock price steadily climbing upwards, symbolizing the company's growing success and influence in the tech industry. The visual juxtaposition of the jubilant graduates and the ascending stock price vividly demonstrates the dynamic relationship between multi-disciplinary education and socioeconomic progress, capturing the concept of "multi-pliers" in action.] The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Minimalism An image that looks like it is a scene from 'Star Wars' Brutalism Woodblock painting Realistic
ChatGPT: An image of a bustling university campus on graduation day

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A), in the following situation: As more students delved into multidisciplinary studies, their brains became like Agilent's precision instruments, leading to innovative ideas and boosting the demand for tech, hence the rise in Agilent's stock price. It's a case of "multi-pliers" at work!. Keep the description simple.
ChatGPT: In a bustling university hall, students wearing graduation caps and gowns are proudly receiving their Master's degrees in multi/interdisciplinary studies. As they celebrate their academic achievements, a large digital screen nearby displays Agilent Technologies' stock price steadily climbing upwards, reflecting the company's growing success and influence in the tech industry. The scene vividly captures the symbiotic relationship between the students' multi- disciplinary education and the surge in Agilent's stock value, illustrating the concept of "multi-pliers" in action.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ An image of a bustling university campus on graduation day ] and depicting this scene: In a bustling university hall, students wearing graduation caps and gowns are proudly receiving their Master's degrees in multi/interdisciplinary studies. As they celebrate their academic achievements, a large digital screen nearby displays Agilent Technologies' stock price steadily climbing upwards, reflecting the company's growing success and influence in the tech industry. The scene vividly captures the symbiotic relationship between the students' multi- disciplinary education and the surge in Agilent's stock value, illustrating the concept of "multi-pliers" in action. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [An image of a bustling university hall, decorated in ceremonial regalia with vibrant flowers and shining trophies. The hall is filled with students wearing graduation caps and gowns, as they excitedly walk up the stage to receive their Master's degrees in multi/interdisciplinary studies. The atmosphere is charged with a sense of accomplishment and pride as the graduates celebrate their academic achievements. Adjacent to the stage, a large digital screen displays Agilent Technologies' stock price steadily climbing upwards, symbolizing the company's growing success and influence in the tech industry. The visual juxtaposition of the jubilant graduates and the ascending stock price vividly demonstrates the dynamic relationship between multi-disciplinary education and socioeconomic progress, capturing the concept of "multi-pliers" in action.]

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Master's degrees awarded in Multi/interdisciplinary studies caused Agilent Technologies' stock price (A) to increase.

AI academic paper

(Because p < 0.01)
Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price

The Journal of Financial Alchemy

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from National Center for Education Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9654081 and p < 0.01 for 2012 to 2021.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of academia and financial markets has long been a topic of fascination and speculation. The traditional school of thought has often compartmentalized the realms of education and finance, treating them as distinct domains with little to no overlap. However, as we delve deeper into the data, an unexpected and rather intriguing connection emerges – one that has the potential to shake the very foundations of our conventional wisdom. The focus of this study is on the correlation between the number of Master's degrees awarded in the field of Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A).

Much like a well-blended interdisciplinary program, our research methodology seamlessly integrated the quantitative analysis of educational trends with the dynamic movements of the stock market. Delving into the depths of statistical data, we sought to unravel the threads that intricately weave together the realms of academia and finance. Striking a balance between rigorous analysis and a dash of humor, we embarked on this journey with the aim of shedding light on a correlation that may seem as unlikely as finding a vegan at a barbecue, yet is as compelling as the battle between bulls and bears on Wall Street.

With our magnifying glass firmly in hand, we examined a decade-worth of data, stretching from 2012 to 2021. Our exploratory journey through the troves of datasets yielded a remarkable correlation coefficient of 0.9654081, which is as striking as a bullseye in archery or finding a needle in a haystack. Furthermore, with a p-value of less than 0.01, our findings provide robust evidence to support our hypothesis, enough to make even the staunchest skeptic raise an eyebrow as quizzically as they would at a magician's sleight of hand.

The aim of this paper is not simply to lay bare the statistical intersections between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. We seek to embark on a journey that transcends mere numbers and delves into the narratives and nuances that underpin this unexpected connection. As we unravel the layers of this curious correlation, we are reminded that just like the intricate patterns in a Rorschach inkblot test, the amalgamation of interdisciplinary studies and stock price movements holds untold depth and potential for reshaping our understanding of educational trends and the financial markets.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of academia and financial markets has long been a topic of fascination and speculation. The traditional school of thought has often compartmentalized the realms of education and finance, treating them as distinct domains with little to no overlap. However, as we delve deeper into the data, an unexpected and rather intriguing connection emerges – one that has the potential to shake the very foundations of our conventional wisdom. The focus of this study is on the correlation between the number of Master's degrees awarded in the field of Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A).

Much like a well-blended interdisciplinary program, our research methodology seamlessly integrated the quantitative analysis of educational trends with the dynamic movements of the stock market. Delving into the depths of statistical data, we sought to unravel the threads that intricately weave together the realms of academia and finance. Striking a balance between rigorous analysis and a dash of humor, we embarked on this journey with the aim of shedding light on a correlation that may seem as unlikely as finding a vegan at a barbecue, yet is as compelling as the battle between bulls and bears on Wall Street.
With our magnifying glass firmly in hand, we examined a decade-worth of data, stretching from 2012 to 2021. Our exploratory journey through the troves of datasets yielded a remarkable correlation coefficient of 0.9654081, which is as striking as a bullseye in archery or finding a needle in a haystack. Furthermore, with a p-value of less than 0.01, our findings provide robust evidence to support our hypothesis, enough to make even the staunchest skeptic raise an eyebrow as quizzically as they would at a magician's sleight of hand.
The aim of this paper is not simply to lay bare the statistical intersections between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. We seek to embark on a journey that transcends mere numbers and delves into the narratives and nuances that underpin this unexpected connection. As we unravel the layers of this curious correlation, we are reminded that just like the intricate patterns in a Rorschach inkblot test, the amalgamation of interdisciplinary studies and stock price movements holds untold depth and potential for reshaping our understanding of educational trends and the financial markets.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and stock price movements has piqued the interest of researchers across various disciplines. Smith et al. (2017) conducted an in-depth analysis of educational trends and their impact on financial markets, highlighting the interconnectedness between academic pursuits and stock market dynamics. Moreover, Doe and Jones (2015) explored the potential implications of interdisciplinary studies on investment strategies, providing valuable insights into the uncharted territory at the intersection of academia and finance.

Moving beyond the confines of traditional academic literature, pertinent non-fiction works such as "The Black Swan" by Nassim Nicholas Taleb and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner offer thought-provoking perspectives on unexpected correlations and the underlying mechanisms driving market behavior. Additionally, fictional narratives such as "The Alchemist" by Paulo Coelho and "The Wealth of Nations" by Adam Smith provide allegorical insight into the convergence of academic pursuits and economic influences, albeit through the lens of imaginative storytelling.

As part of our rigorous research process, our interdisciplinary team immersed itself in relevant television shows, gaining valuable anecdotal evidence from programs such as "Billions" and "The Big Bang Theory." While these shows may not provide empirical data, they offer a light-hearted portrayal of the complexities inherent in financial markets and the academic world, adding a sprinkle of entertainment to our research endeavors. After all, who said academia and stock market analysis couldn't intertwine with a touch of humor and pop culture references?



Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) . You used data from 2012 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

[[INTRODUCTION]]
The intersection of academia and financial markets has long been a topic of fascination and speculation. The traditional school of thought has often compartmentalized the realms of education and finance, treating them as distinct domains with little to no overlap. However, as we delve deeper into the data, an unexpected and rather intriguing connection emerges – one that has the potential to shake the very foundations of our conventional wisdom. The focus of this study is on the correlation between the number of Master's degrees awarded in the field of Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A).

Much like a well-blended interdisciplinary program, our research methodology seamlessly integrated the quantitative analysis of educational trends with the dynamic movements of the stock market. Delving into the depths of statistical data, we sought to unravel the threads that intricately weave together the realms of academia and finance. Striking a balance between rigorous analysis and a dash of humor, we embarked on this journey with the aim of shedding light on a correlation that may seem as unlikely as finding a vegan at a barbecue, yet is as compelling as the battle between bulls and bears on Wall Street.
With our magnifying glass firmly in hand, we examined a decade-worth of data, stretching from 2012 to 2021. Our exploratory journey through the troves of datasets yielded a remarkable correlation coefficient of 0.9654081, which is as striking as a bullseye in archery or finding a needle in a haystack. Furthermore, with a p-value of less than 0.01, our findings provide robust evidence to support our hypothesis, enough to make even the staunchest skeptic raise an eyebrow as quizzically as they would at a magician's sleight of hand.
The aim of this paper is not simply to lay bare the statistical intersections between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. We seek to embark on a journey that transcends mere numbers and delves into the narratives and nuances that underpin this unexpected connection. As we unravel the layers of this curious correlation, we are reminded that just like the intricate patterns in a Rorschach inkblot test, the amalgamation of interdisciplinary studies and stock price movements holds untold depth and potential for reshaping our understanding of educational trends and the financial markets.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In this academic endeavor that blends the buttoned-up world of education statistics with the rollercoaster realm of stock market analysis, our research methodology was as meticulously crafted as a delicate soufflé. We employed a multifaceted approach that would make even the most avid puzzle solver nod in approval. Our data collection process was as eclectic as the interdisciplinary studies we were examining, as we scoured the internet from end to end, sifting through an array of sources like a prospector panning for gold, irrefutably confirming that there's value in digging deep.

To get to the bottom of the intellectually intriguing relationship between Master's degrees in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A), we primarily relied on data from the National Center for Education Statistics, known for being a treasure trove of educational data akin to a library of Alexandria for researchers, and LSEG Analytics (Refinitiv), a trusted source in the often tumultuous realm of stock market analytics. We opted for data from the period spanning 2012 to 2021, ten years teeming with stories of academic pursuits and stock market swoops and swings.

Employing a blend of statistical wizardry and a discerning eye for patterns, we meticulously gathered and curated the data, ensuring our dataset was as sturdy and reliable as the rock of Gibraltar. Our analysis technique sailed smoothly between the treacherous waters of educational trends and the capricious currents of the stock market, leveraging a correlation analysis that was as robust as an oak tree and as precise as a Swiss timepiece.

In our pursuit to unravel the enigmatic connection between Master's degrees in Multi/Interdisciplinary Studies and Agilent Technologies' stock price, we adopted a quantitative approach that made Number crunchers cheer and data enthusiasts do a little jig. Our toolkit included methods such as regression analysis and trend extrapolation, akin to a pair of trusty compasses guiding us through the uncharted seas of academic and financial data, seeking to weave a compelling narrative from the intricate threads of statistical correlation.

We acknowledge that our research methodology is not without its limitations, much like trying to fit a square peg into a round hole. The inherent complexity of financial markets and the evolving landscape of education may introduce confounding variables beyond our scope. However, armed with our analytical arsenal and an insatiable curiosity, we ventured forth bravely in pursuit of uncovering the unlikely correlation lurking beneath the surface.

With our data collection, curation, and analysis shrouded in a healthy dose of academic rigor and lighthearted quirkiness, the methodology employed in this study is a testament to our commitment to unearthing hidden connections and paving the path for future explorations at the intersection of academia and finance.

------
I hope you enjoy this!


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) .

For the time period 2012 to 2021, you found a correlation 0.9654081, r-squared of 0.9320128, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of academia and financial markets has long been a topic of fascination and speculation. The traditional school of thought has often compartmentalized the realms of education and finance, treating them as distinct domains with little to no overlap. However, as we delve deeper into the data, an unexpected and rather intriguing connection emerges – one that has the potential to shake the very foundations of our conventional wisdom. The focus of this study is on the correlation between the number of Master's degrees awarded in the field of Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A).

Much like a well-blended interdisciplinary program, our research methodology seamlessly integrated the quantitative analysis of educational trends with the dynamic movements of the stock market. Delving into the depths of statistical data, we sought to unravel the threads that intricately weave together the realms of academia and finance. Striking a balance between rigorous analysis and a dash of humor, we embarked on this journey with the aim of shedding light on a correlation that may seem as unlikely as finding a vegan at a barbecue, yet is as compelling as the battle between bulls and bears on Wall Street.
With our magnifying glass firmly in hand, we examined a decade-worth of data, stretching from 2012 to 2021. Our exploratory journey through the troves of datasets yielded a remarkable correlation coefficient of 0.9654081, which is as striking as a bullseye in archery or finding a needle in a haystack. Furthermore, with a p-value of less than 0.01, our findings provide robust evidence to support our hypothesis, enough to make even the staunchest skeptic raise an eyebrow as quizzically as they would at a magician's sleight of hand.
The aim of this paper is not simply to lay bare the statistical intersections between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. We seek to embark on a journey that transcends mere numbers and delves into the narratives and nuances that underpin this unexpected connection. As we unravel the layers of this curious correlation, we are reminded that just like the intricate patterns in a Rorschach inkblot test, the amalgamation of interdisciplinary studies and stock price movements holds untold depth and potential for reshaping our understanding of educational trends and the financial markets.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our analysis unveiled a striking correlation between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). From 2012 to 2021, our research team found a remarkably high correlation coefficient of 0.9654081, indicating a strong positive linear relationship between the two variables. This correlation coefficient is about as close of a match as finding the perfect pair of socks in the morning – surprisingly impressive and eerily accurate.

Furthermore, the coefficient of determination (r-squared) of 0.9320128 suggests that approximately 93.2% of the variability in Agilent Technologies' stock price can be explained by the number of Master's degrees awarded in Multi/Interdisciplinary Studies. This finding is nothing short of mesmerizing, akin to solving a complex puzzle with a surprisingly simple solution.

The statistical significance of our findings is underscored by a p-value of less than 0.01, offering compelling evidence that the observed correlation is not a mere fluke but rather a significant relationship worthy of further exploration. Much like stumbling upon a rare gem in a sea of ordinary rocks, our discovery invites us to delve deeper into the underlying mechanisms driving this unexpected connection between educational achievements and stock market movements.

To visually encapsulate the robust correlation uncovered in our analysis, we present Figure 1, a scatterplot that vividly illustrates the strong positive relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. As you gaze upon this chart, imagine each data point as a star in the night sky – seemingly disparate but ultimately coming together to form a constellation of remarkably high correlation.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

[[LITERATURE REVIEW]]
The relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and stock price movements has piqued the interest of researchers across various disciplines. Smith et al. (2017) conducted an in-depth analysis of educational trends and their impact on financial markets, highlighting the interconnectedness between academic pursuits and stock market dynamics. Moreover, Doe and Jones (2015) explored the potential implications of interdisciplinary studies on investment strategies, providing valuable insights into the uncharted territory at the intersection of academia and finance.
Moving beyond the confines of traditional academic literature, pertinent non-fiction works such as "The Black Swan" by Nassim Nicholas Taleb and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner offer thought-provoking perspectives on unexpected correlations and the underlying mechanisms driving market behavior. Additionally, fictional narratives such as "The Alchemist" by Paulo Coelho and "The Wealth of Nations" by Adam Smith provide allegorical insight into the convergence of academic pursuits and economic influences, albeit through the lens of imaginative storytelling.
As part of our rigorous research process, our interdisciplinary team immersed itself in relevant television shows, gaining valuable anecdotal evidence from programs such as "Billions" and "The Big Bang Theory." While these shows may not provide empirical data, they offer a light-hearted portrayal of the complexities inherent in financial markets and the academic world, adding a sprinkle of entertainment to our research endeavors. After all, who said academia and stock market analysis couldn't intertwine with a touch of humor and pop culture references?


[[RESULTS]]
The results of our analysis unveiled a striking correlation between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). From 2012 to 2021, our research team found a remarkably high correlation coefficient of 0.9654081, indicating a strong positive linear relationship between the two variables. This correlation coefficient is about as close of a match as finding the perfect pair of socks in the morning – surprisingly impressive and eerily accurate.
Furthermore, the coefficient of determination (r-squared) of 0.9320128 suggests that approximately 93.2% of the variability in Agilent Technologies' stock price can be explained by the number of Master's degrees awarded in Multi/Interdisciplinary Studies. This finding is nothing short of mesmerizing, akin to solving a complex puzzle with a surprisingly simple solution.
The statistical significance of our findings is underscored by a p-value of less than 0.01, offering compelling evidence that the observed correlation is not a mere fluke but rather a significant relationship worthy of further exploration. Much like stumbling upon a rare gem in a sea of ordinary rocks, our discovery invites us to delve deeper into the underlying mechanisms driving this unexpected connection between educational achievements and stock market movements.
To visually encapsulate the robust correlation uncovered in our analysis, we present Figure 1, a scatterplot that vividly illustrates the strong positive relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. As you gaze upon this chart, imagine each data point as a star in the night sky – seemingly disparate but ultimately coming together to form a constellation of remarkably high correlation.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

The results of our analysis provide compelling evidence to support the previously documented connection between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price (A). Our findings align with the research by Smith et al. (2017) and Doe and Jones (2015), who hinted at the intriguing interplay between educational pursuits and financial market movements. It appears that these relationships are not just fodder for fictional narratives like "The Alchemist" and "The Wealth of Nations"; they have real implications for the stock market, much to the amusement of those who appreciate the fusion of academia and finance.

The remarkably high correlation coefficient of 0.9654081 is as close to a perfect match as finding the last piece of a jigsaw puzzle after a tedious search. The coefficient of determination (r-squared) further solidifies the strength of this relationship, explaining approximately 93.2% of variability in Agilent Technologies' stock price. This is akin to unraveling a complex mystery with a surprisingly simple solution – a delightful revelation for our research team.

The statistical significance of our findings, with a p-value of less than 0.01, underscores the robustness of the relationship. It's as if we've stumbled upon a diamond in the rough, uncovering a significant association between educational achievements and stock market movements that warrants further exploration. We are not just connecting dots; we are creating constellations of remarkably high correlation, much like finding unexpected patterns in a market teeming with unpredictability.

As we delve into this uncharted territory, we can't help but acknowledge the lighthearted portrayal of the complexities of financial markets in shows like "Billions" and "The Big Bang Theory," which, albeit not empirical, offer a jocular lens through which to view our research endeavors. After all, what's academia without a touch of humor and pop culture references?

In conclusion, our findings not only affirm the existing literature on this topic but also highlight the potential for interdisciplinary studies to influence stock market dynamics, showcasing a correlation that is both academically substantive and whimsically captivating. As we navigate this juncture of academia and finance, we invite further exploration and discourse to uncover the enigmatic ties between education and the stock market.

(Note: I've left out the "cliffhanger" ending for you to add after this discussion section to create the conclusion, as per your request.)


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Master's degrees awarded in Multi/interdisciplinary studies and Agilent Technologies' stock price (A). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price"

[[ABSTRACT]]
This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

[[INTRDUCTION]]
The intersection of academia and financial markets has long been a topic of fascination and speculation. The traditional school of thought has often compartmentalized the realms of education and finance, treating them as distinct domains with little to no overlap. However, as we delve deeper into the data, an unexpected and rather intriguing connection emerges – one that has the potential to shake the very foundations of our conventional wisdom. The focus of this study is on the correlation between the number of Master's degrees awarded in the field of Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A).

Much like a well-blended interdisciplinary program, our research methodology seamlessly integrated the quantitative analysis of educational trends with the dynamic movements of the stock market. Delving into the depths of statistical data, we sought to unravel the threads that intricately weave together the realms of academia and finance. Striking a balance between rigorous analysis and a dash of humor, we embarked on this journey with the aim of shedding light on a correlation that may seem as unlikely as finding a vegan at a barbecue, yet is as compelling as the battle between bulls and bears on Wall Street.
With our magnifying glass firmly in hand, we examined a decade-worth of data, stretching from 2012 to 2021. Our exploratory journey through the troves of datasets yielded a remarkable correlation coefficient of 0.9654081, which is as striking as a bullseye in archery or finding a needle in a haystack. Furthermore, with a p-value of less than 0.01, our findings provide robust evidence to support our hypothesis, enough to make even the staunchest skeptic raise an eyebrow as quizzically as they would at a magician's sleight of hand.
The aim of this paper is not simply to lay bare the statistical intersections between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. We seek to embark on a journey that transcends mere numbers and delves into the narratives and nuances that underpin this unexpected connection. As we unravel the layers of this curious correlation, we are reminded that just like the intricate patterns in a Rorschach inkblot test, the amalgamation of interdisciplinary studies and stock price movements holds untold depth and potential for reshaping our understanding of educational trends and the financial markets.

[[RESULTS]]
The results of our analysis unveiled a striking correlation between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). From 2012 to 2021, our research team found a remarkably high correlation coefficient of 0.9654081, indicating a strong positive linear relationship between the two variables. This correlation coefficient is about as close of a match as finding the perfect pair of socks in the morning – surprisingly impressive and eerily accurate.
Furthermore, the coefficient of determination (r-squared) of 0.9320128 suggests that approximately 93.2% of the variability in Agilent Technologies' stock price can be explained by the number of Master's degrees awarded in Multi/Interdisciplinary Studies. This finding is nothing short of mesmerizing, akin to solving a complex puzzle with a surprisingly simple solution.
The statistical significance of our findings is underscored by a p-value of less than 0.01, offering compelling evidence that the observed correlation is not a mere fluke but rather a significant relationship worthy of further exploration. Much like stumbling upon a rare gem in a sea of ordinary rocks, our discovery invites us to delve deeper into the underlying mechanisms driving this unexpected connection between educational achievements and stock market movements.
To visually encapsulate the robust correlation uncovered in our analysis, we present Figure 1, a scatterplot that vividly illustrates the strong positive relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. As you gaze upon this chart, imagine each data point as a star in the night sky – seemingly disparate but ultimately coming together to form a constellation of remarkably high correlation.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, this study has provided compelling evidence of an intriguing and unexpected correlation between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and Agilent Technologies' stock price. The remarkably high correlation coefficient of 0.9654081, akin to finding a four-leaf clover in a field of three-leafed ones, underscores the strength of this connection.

The robustness of our analysis, buttressed by a p-value of less than 0.01, highlights the statistical significance of this relationship, as remarkable as finding a unicorn in a herd of horses. The coefficient of determination of 0.9320128 further emphasizes the explanatory power of Master's degrees awarded in Multi/Interdisciplinary Studies in predicting Agilent Technologies' stock price, akin to discovering a pot of gold at the end of a rainbow.

Overall, our findings challenge conventional wisdom and offer a new perspective on the potential impact of educational achievements on stock market dynamics. We have uncovered a unique relationship that is as unexpected as winning the lottery, and as captivating as a captivating plot twist in a suspenseful novel.

However, it is time to acknowledge that no more research is needed in this area. The extensive, rigorous, and thorough analysis conducted in this study conclusively supports our findings. There is a clear connection worthy of acknowledgment, and we encourage investors and educators alike to consider the implications of this unexpected relationship. As we close this chapter, we leave this study as a testament to the whimsical and curious correlations that can be uncovered in the realm of academia and stock market dynamics.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Alchemy


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Financial Innovation and Market Analysis


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Mastering the Stock Market: Interdisciplinary Studies and Agilent Technologies' A-ffect on Stock Price with an abstract of This research paper delves into the intriguing relationship between the number of Master's degrees awarded in Multi/Interdisciplinary Studies and the stock price of Agilent Technologies (A). Leveraging data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our expert research team conducted a comprehensive analysis spanning from 2012 to 2021. The findings revealed a remarkably high correlation coefficient of 0.9654081, and with a p-value of less than 0.01, providing robust evidence to support our hypothesis. While some may view this linkage as merely coincidental, we aim to dissect the complexities underlying this unexpected connection and shed light on the uncharted territory at the intersection of academia and stock market dynamics. As we unveil these peculiar correlations, it becomes apparent that the convergence of interdisciplinary studies and stock price movements is not just a figment of our imagination – it truly has the potential to revolutionize the way we perceive educational trends and the financial markets.

ChatGPT:

Master's degrees, Multi/Interdisciplinary Studies, stock price, Agilent Technologies, National Center for Education Statistics, LSEG Analytics, correlation coefficient, p-value, academic trends, financial markets, interdisciplinary studies, stock market dynamics, educational trends, market correlation, stock price movements

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Master's degrees awarded in Multi/interdisciplinary studies
Detailed data title: Master's degrees conferred by postsecondary institutions in Multi/interdisciplinary studies
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in Multi/interdisciplinary studies

Agilent Technologies' stock price (A)
Detailed data title: Opening price of Agilent Technologies (A) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with Agilent Technologies' stock price (A)

Correlation r = 0.9654081 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.9320128 (Coefficient of determination)
This means 93.2% of the change in the one variable (i.e., Agilent Technologies' stock price (A)) is predictable based on the change in the other (i.e., Master's degrees awarded in Multi/interdisciplinary studies) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.008E-6. 0.0000060080431238417260000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 0.0006008% of random cases. Said differently, if you correlated 166,444 random variables You don't actually need 166 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.86, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2012201320142015201620172018201920202021
Master's degrees awarded in Multi/interdisciplinary studies (Degrees awarded)77467953812081008554926410221107211154112365
Agilent Technologies' stock price (A) (Stock price)25.6330.1640.8341.1841.0645.9367.4266.585.9118.94




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([7746,7953,8120,8100,8554,9264,10221,10721,11541,12365,])
array_2 = np.array([25.63,30.16,40.83,41.18,41.06,45.93,67.42,66.5,85.9,118.94,])
array_1_name = "Master's degrees awarded in Multi/interdisciplinary studies"
array_2_name = "Agilent Technologies' stock price (A)"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



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Correlation ID: 3646 · Black Variable ID: 1332 · Red Variable ID: 1813
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