The concept of linear regression evolved from Galton's concept of "regression from the mean". The two concepts were developed simultaneously, though it was Galton's pupil, Karl Pearson, who formalized the mathematics behind linear regression and was able to calculate the R-value formally, while Galton could only make estimates on the slope of a regression line. In modernity regression analysis is used as a golden standard for research in medicine and the social sciences. we learned about linear regression. Look at the attached scatterplot below that compares Per Capita Meat Consumption and Colon Cancer incidence per country. Now that you are equipped with the concept of correlation, do you think that we can make a statistically significant inference about the relationship between meat consumption and colon cancer? Consider the following points in answering this question: Do we need to survey more countries to make a conclusion? How strong is the correlation? What do you think the r^2 would be if you ran a linear regression? Are there any ot
The concept of linear regression evolved from Galton's concept of "regression from the mean". The two concepts were developed simultaneously, though it was Galton's pupil, Karl Pearson, who formalized the mathematics behind linear regression and was able to calculate the R-value formally, while Galton could only make estimates on the slope of a regression line. In modernity regression analysis is used as a golden standard for research in medicine and the social sciences. we learned about linear regression. Look at the attached scatterplot below that compares Per Capita Meat Consumption and Colon Cancer incidence per country. Now that you are equipped with the concept of correlation, do you think that we can make a statistically significant inference about the relationship between meat consumption and colon cancer? Consider the following points in answering this question: Do we need to survey more countries to make a conclusion? How strong is the correlation? What do you think the r^2 would be if you ran a linear regression? Are there any ot
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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The concept of linear regression evolved from Galton's concept of "regression from the mean". The two concepts were developed simultaneously, though it was Galton's pupil, Karl Pearson, who formalized the mathematics behind linear regression and was able to calculate the R-value formally, while Galton could only make estimates on the slope of a regression line. In modernity regression analysis is used as a golden standard for research in medicine and the social sciences.
we learned about linear regression. Look at the attached scatterplot below that compares Per Capita Meat Consumption and Colon Cancer incidence per country. Now that you are equipped with the concept of correlation ,
do you think that we can make a statistically significant inference about the relationship between meat consumption and colon cancer?
Consider the following points in answering this question:
Do we need to survey more countries to make a conclusion?
How strong is the correlation? What do you think the r^2 would be if you ran a linear regression?
Are there any other factors we should take into consideration besides meat consumption?
![Colon cancer incidence per 100,000 women
Nig
Jap
Yug
Chi
Nor
•Col
•Swe
Jam Fin PR Pol
Rom
Hun
• Net
●Isr
Den
FDP
DDP
UK
Ice
•Can
USA
.NZ
40
80 120 160 200 240
280 320
Per Capita Daily Meat Consumption (grams)
Retrieved from: http://sphweb.bumc.bu.edu/ott/MPH-Modules/QuantCore/PH717_Correlation-LinearRegression/PH717_Correlation-
LinearRegression2.html](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd4d208fe-9fca-46b7-8d0d-a073cb2695c9%2F46cb65a2-b1fa-471a-bbba-4a342654c3f9%2Fu5nvqfk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Colon cancer incidence per 100,000 women
Nig
Jap
Yug
Chi
Nor
•Col
•Swe
Jam Fin PR Pol
Rom
Hun
• Net
●Isr
Den
FDP
DDP
UK
Ice
•Can
USA
.NZ
40
80 120 160 200 240
280 320
Per Capita Daily Meat Consumption (grams)
Retrieved from: http://sphweb.bumc.bu.edu/ott/MPH-Modules/QuantCore/PH717_Correlation-LinearRegression/PH717_Correlation-
LinearRegression2.html
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