Question
Below is a regression predicting the weekly hours of study (dependent variable) using the weekly amount of exercise (independent variable) for SOC 396 stats students.
Below is a regression predicting the weekly hours of study (dependent variable) using the weekly amount of exercise (independent variable) for SOC 396 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 |SSdfMSNumber of obs=211
-------------+----------------------------------F(1, 209)=10.02
Model |1116.3768611116.37686Prob > F=0.0018
Residual |23286.7085209111.419658R-squared=0.0457
-------------+----------------------------------Adj R-squared=0.0412
Total |24403.0853210116.205168Root 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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please show work for each step
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