Reconsider the previous exercise about the cholesterol and BMI. The equation of the least squares regression line

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Reconsider the previous exercise about the cholesterol and BMI. The equation of the least squares regression line obtained was cholesterol = 162.56 ˆ’ 0.9658 (BMI).
a. Interpret what the slope coefficient means in the context of cholesterol and BMI.
b. Interpret the intercept. Is this an example of extrapolation? Why or why not?


Data from previous exercise

In a study to see if there was an association between weight loss and the amount of a certain protein in a person€™s body fat, the researchers measured a number of different attributes in their 39 subjects at the beginning of the study. The article reported, €œThese subjects were clinically and ethnically heterogeneous.€ Two of the variables they measured were body mass index (BMI) and total cholesterol. The results are shown in the scatterplot along with the regression line.

240 - 200- 160 120 20 40 50 60 BMI Total cholesterol

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Introduction To Statistical Investigations

ISBN: 9781118172148

1st Edition

Authors: Beth L.Chance, George W.Cobb, Allan J.Rossman Nathan Tintle, Todd Swanson Soma Roy

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