Regression Statistics Multiple R Fl Square Adjust R Square Standard Error Observations Median Mode Intercept 22,43419 _ Standard Var 1 0.075459 4.13661 DSVia'iO" Var 2 0.25906 -0.55177 Si'TfP'e Var 3 0.665932 2.4353 :22: Var 4 . 0.496906 3500133 W Var 5 0.228214 2.774525 Minimum Maximum Var s . 0.184177 7.25325 _ Sum The above two tables are related to the variable AGE. The rst is a regression table with 6-variables predicting AGE, while the second table contains the Summary statistic related to AGE data. Answer the questions (choose the most appropriate answer): I) If you were to pick one variable as the best predictor of AGE which one would you pick? (10 points) " a. Variable 2 " b. Variable 3 '\" c. Variable 4 d. Variable 5 9. Variable 6 II) It we increase every of the 6 variables by 2 units, which variable would contribute to largest change in AGE prediction? (5 points) " a. Variable 2 " b. Variable 3 " 0. Variable 4 "' d. Variable 5 \" e. Variable 6 III) On average, how old are the men in this study? (5 points) " a. 43 "' b. 81 \" c. 62.16 "' d. 252 " e. None of these