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

——————————————————————————

     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

——————————————————————————

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.