Simple linear regression results:   Dependent Variable: Heart. Disease Independent Variable: Biking Heart. Disease = 18.115809 - 0.20845321 Biking Sample size: 68 R (correlation coefficient) = -0.94616452 R-sq = 0.8952273 Estimate of error standard deviation: 1.5273175 Correlation between Biking and Heart. Disease is: -0.94616452. Correlation between Smoking and Heart. Disease is: 0.32421.   1) State r 2 (i.e., the coefficient of determination) for “Biking” and “Heart.Disease” and explain what this value means in context of the data set.

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Simple linear regression results:

 

Dependent Variable: Heart. Disease
Independent Variable: Biking
Heart. Disease = 18.115809 - 0.20845321 Biking
Sample size: 68
R (correlation coefficient) = -0.94616452
R-sq = 0.8952273
Estimate of error standard deviation: 1.5273175

Correlation between Biking and Heart. Disease is: -0.94616452.

Correlation between Smoking and Heart. Disease is: 0.32421.

 

1) State r 2 (i.e., the coefficient of determination) for “Biking” and “Heart.Disease” and explain what this value means in context of the data set.

 

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