Please refer to the question in the screenshot.

SUMMARY OUTPUT Regression Statistics Multiple R 0.43786219 R Square 0.191723295 Adjusted R Square 0.184441523 Standard Error 7.78986464 Observations 449 ANOVA df SS MS F Significance F Regression 4 6390.835129 1597.70878 26.3292083 1.31053E-19 Residual 444 26942.80407 60.6819911 Total 448 33333.6392 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.62066464 1.469025414 1.10322437 0.27052732 -1.26644227 4.50777156 -1.26644227 4.50777156 2 ParHH -1.93824464 0.763760548 -2.5377648 0.0114972 -3.439279499 -0.43720978 -3.4392795 -0.43720978 PeerMari 2.07157827 0.270396348 7.66126571 1.166E-13 1.540162573 2.60299397 1.54016257 2.60299397 Gender -1.11818142 0.745051949 -1.50081001 0.13411548 -2.582447875 0.34608503 -2.58244788 0.34608503 NumArrest 0.79681036 0.24322319 3.276046 0.00113522 0.318798647 1.27482207 0.31879865 1.274822071. For this assignment, you are expected to estimate an OLS Regression model using the dataset to the left. a. You are expected to assess a model where the Number of Days individuals reported Marijuana Use in the Past 30 Days (i.e., TimeUseMari) as the Dependent Variable. b. You want to include the measures for 2 Parent Households (2ParHH; 0 = no, 1 = yes), Peers who use Marijuana, (PeerMari; 1 =0 to 10%; 2 = about 25%; 3 = about 50%; 4 = about 75%; 5 = more than 90%), Gender (1 = male; 2 = female), and Number of Arrest (NumArrest) as control variables (i.e., independent variables) in the analysis. (2) After estimating a regression model consistent with the aforementioned parameters, you are expected to provide the values and interpret the results for the following estimates: (1) the R squared value; (2) the F statistic; (3) the unstandardized coefficient values for the independent variables; and (4) interpret whether or not you reject or fail to reject the null hypothesis for each of the independent variables assessed in the regression analysis (you should mention the t statistic for each variable and whether or not it exceeds the t critical value based on the achieved p value). Hint: The video for this weekly module will be extremely helpful with this assignment