Question: Below is a regression predicting the weekly hours of study (dependent variable) using the weekly amount of exercise (independent variable) for stats students. Please write

Below is a regression predicting the weekly hours of study (dependent variable) using the weekly amount of exercise (independent variable) for stats students. Please write out the equation and report the r2 and the p-value for the effect. Then explain the effect in words that non-statistically-inclined 12-year-olds might understand. How much variance in studying is explained by exercise?

Is the effect statistically significant? Is it substantively significant (yes, do some math)? Does this make you want to increase your workouts or not?

. reg studyhour exerschool

Source |SSdfMS Number of obs=211

-------------+---------------------------------- F(1, 209)=10.02

Model |1116.376861 1116.37686 Prob > F=0.0018

Residual |23286.7085209 111.419658 R-squared=0.0457

-------------+---------------------------------- Adj R-squared=0.0412

Total |24403.0853210 116.205168 Root MSE=10.556

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studyhour |Coef.Std. Err.tP>|t|[95% Conf. Interval]

-------------+----------------------------------------------------------------

exerschool |.1469246.04641623.170.002.0554206.2384286

_cons |11.64374.816503114.260.00010.0341113.25338

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