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Regression Statistics Age Multiple R 0.586215594 Mean 44 88492 R Square 0 343648723 Standard 0.793854 Adjust R Square 0 327574814 Error Median 43 Standard Error 10 3338661 Mode 40 Observations 252 Standard 12.60204 Coefficients Standard Error t Stat P-value Deviation Simple Intercept -62 160727 22 48419 2 76464 0.006131858 158.8114 Variance Var 1 0.53851906 0 075459 7.13661 1 07874E-11 Kurtosis -0 41644 Var 2 0 14294146 0.25906 -0.55177 0.581608759 Skewness| 0.283521 Range 59 Var 3 -1 65537776 0.665932 -2 4858 0 013593598 Minimum Var 4 1 788928142 0 496906 3.600133 0 000384897 Maximum Sum 1311 Var 5 0.633186159 0.228214 2.774525 0 005954187 Count 252 Var 6 1 336803763 0.184177 7 25825 5 16717E-12 The above two tables are related to the variable AGE. The first 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 ar I) If Variable 4 increases by 10 units, according to the table what would be your prediction for the AGE variable be? (10 points) Oa -62 16 Ob -62 16 +/- 10 33 Oc. 17 88 O d. 17 88+/-0 3436 De None of these II) If all 6 variables increase by 1 unit, according to the table what would happen to your prediction? (5 points) a. Prediction will increase by circa 1 422 O b Prediction will decrease 62 16 O c. Prediction will decrease 60 738 O d Prediction will not significantly change O e. None of these Ill) Which two numbers are designed to describe the center of the variable AGE? (numbers are rounded) (5 points) O a 44 8 and 0.79 O b. 43 and 0 79 O c. 43 and 44 8 Od 44.8 and 10.33 O e. None of these