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The correlation coefficient for these data is:

The correlation coefficient for these data is:

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Intrigued by a 2013 study at the University of Nebraska that suggested marijuana smokers may be thinner than other adults, a group of students did a project to explore the relationship between body mass index (BMI) and amount of time spent under the influence of marijuana (measured in hours per week). Based on a random sample of 33 students at their university, they used BMI as the response variable. The equation of the least-squares regression line is: hours per month under influence = 49.2 – 1.15 BMI. Also, r2 = 0.134. Body Mass and Smoking Habits 40 20 25 30 Hrs/Month Under Influence of Marijuana 20
Transcribed Image Text:Intrigued by a 2013 study at the University of Nebraska that suggested marijuana smokers may be thinner than other adults, a group of students did a project to explore the relationship between body mass index (BMI) and amount of time spent under the influence of marijuana (measured in hours per week). Based on a random sample of 33 students at their university, they used BMI as the response variable. The equation of the least-squares regression line is: hours per month under influence = 49.2 – 1.15 BMI. Also, r2 = 0.134. Body Mass and Smoking Habits 40 20 25 30 Hrs/Month Under Influence of Marijuana 20
The correlation coefficient for these data is: 0.366. 0.134. -0.134. -0.366.
Transcribed Image Text:The correlation coefficient for these data is: 0.366. 0.134. -0.134. -0.366.
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