Would really appreciate is someone is able to help solve this problem.

Thanks

7.)

a.) We are interested in explaining the number of hours per week that the CRMJ 321 students spend playing videogames during the school year (rvidsch). Perhaps, we think, this variable can be explained by some students political views! We use our political variables to predict videogame playing and end up with the following regression (Model 1):

. regress rvidsch abort deathpen

Source | SS df MS Number of obs = 109

-------------+------------------------------ F( 2, 106) = 2.13

Model | 250.659437 2 125.329719 Prob > F = 0.1236

Residual | 6230.07909 106 58.7743311 R-squared = 0.0387

-------------+------------------------------ Adj R-squared = 0.0205

Total | 6480.73853 108 60.0068383 Root MSE = 7.6664

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rvidsch | Coef. Std. Err. t P>|t| [95% Conf. Interval]

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

abort | -.8708947 .4901819 -1.78 0.078 -1.842728 .1009386

deathpen | .484386 .4736684 1.02 0.309 -.4547077 1.42348

_cons | 4.801033 1.543066 3.11 0.002 1.741755 7.860312

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What can we conclude from our results? Interpret the coefficients and discuss how much of the variance of videogame playing is accounted for by political factors.