Suppоse yоu run а multiple lineаr regressiоn with two independent vаriables x1 and x2. The following is the regression output. Use a 5% level of significance. SUMMARY OUTPUT Regression Statistics Multiple R 0.866804 R Square 0.75135 Adjusted R Square 0.689187 Standard Error 270.9685 Observations 11 ANOVA df SS MS F Significance F Regression 2 1774930 887465.2 12.08686743 0.0038 Residual 8 587391.3 73423.92 Total 10 2362322 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1930.387 484.857 3.981 0.0041 812.305 3048.469 x1 31.364 6.820 4.599 0.0018 15.637 47.090 x2 -18.098 18.926 -0.956 0.3669 -61.740 25.544 Should the variable x1 be included in the regression model?