Business Analytics

Two linear regression models are fit using the same data. The summary of model fits are shown below. By examining the output, choose all of the following that is true about these models. MODEL 1: Call: lm( formula =mpghp+wt+disp+drat+qsec, data = mtcars ) Coefficients: Call: lm( formula =mpghp+wt+ disp, data = mtcars ) Residuals: Coefficients: Signif. codes: 0 '**** 0.001 '**' 0.01 '*, 0.050.1 ' 1 Residual standard error: 2.639 on 28 degrees of freedom Multiple R-squared: 0.8268 , Adjusted R-squared: 0.8083 F-statistic: 44.57 on 3 and 28 DF, p-value: 8.65e11 Select one or more: a. There are three input variables which are significant in model 2 b. Model 1 has five input variables c. There are two input variables which are significant in model 2 d. Model 1 has one input variable which is significant e. Model 2 has a higher explanatory power