I need help with solving this practice test question. It was 5 parts, with a few statistics. I have attached them all in the files below:

1. In a now-classic study in the 1970s on people's view of crime and society, an interviewer asked a random sample of 45 students to decide, of a variety acts, how many should be considered a crime. For each student, the researcher recorded the response variable Crime (the number of acts the student considered a crime). The following four explanatory variables were recorded for each student in the study: Age: The subject's age in years; College: How long the subject had been in college so far (in years); Income: The income of the subject's parents (in $1000); Sex: The subject's sex (l=female, 0=male). Some output corresponding to the study is on the next page 1 (a) If you had to choose only m of the four explanatory variables to predict the response variable Crime, which explanatory variable would it be? Support your answer with the relevant number(s) from the output on the next page. [4 pts] 1 (b) For the variable you selected in part (a), interpret the value of [3, in context. [6 pts] Coefficients: Estimate Std. Error t value Pr (> It/ ) (Intercept) 7. 474 4 . 284 1. 74 0 . 089 Age 0 . 290 0 . 1756 1 . 64 0 . 108 Signif. codes: 0 1 * * * 1 ' 0.001 \\ * *7 0.01 \\ *# 0. 05 .' 0.1 ' '1 Residual standard error: 5.866 on 44 degrees of freedom Multiple R-squared: 0. 0590, Adjusted R-squared: 0. 0370 Coefficients : Estimate Std. Error t value Pr (> It/ ) (Intercept) 13 . 509 3. 196 4.23 1. 16e-4 * * * College 0 . 286 1. 037 0 . 28 0 . 781 Signif. codes : 0 \\ * * *' 0. 001 \\ * *# 0.01 * *# 0.05 .' 0.1 '1 Residual standard error: 6. 042 on 44 degrees of freedom Multiple R-squared: 0. 0020, Adjusted R-squared: 0. 0010 Coefficients : Estimate Std. Error t value Pr (> Itl) (Intercept) -0 . 196 1 . 661 -0 . 12 0 . 905 Income 0. 302 0 . 081 3. 74 5. 29e-4 * * * Signif. codes: 0 \\ * **' 0. 001 \\ * *# 0.01 \\ *' 0.05 \\ . ' 0.1 \\ ' 1 Residual standard error: 3.502 on 44 degrees of freedom Multiple R-squared: 0. 6650, Adjusted R-squared: 0 . 6570 Coefficients : Estimate Std. Error t value Pr (> It/ ) (Intercept) 11 . 963 1 . 011 11 . 84 It/ ) (Intercept) -10.823 2. 392 -4.52 4. 62e-05 * * * Age 0. 432 0 . 2024 2.14 0. 0379 * College 0 . 024 1. 221 0. 020 0 . 984 Income -0. 290 0 . 0314 -9. 24 7. 22e-12 * * * Sex 2 . 454 0. 0875 2. 81 0. 0074 * * Signif. codes: 0 ' * **' 0. 001 \\ * *' 0.01 * *' 0.05 . .' 0.1 '1 Residual standard error: 2. 601 on 97 degrees of freedom Multiple R-squared: 0. 8280, Adjusted R-squared: 0. 8110 F-statistic: 48 on 4 and 40 DF, p-value: