SUMMARY OUTPUT Regression Statistics Criminal Age Residual Plot Multiple R 0.820378 R Square 0.6730201 Adjusted R Sc 0.6548546 Standard Erro 2.3760574 Residuals Observations 20 ANON o- 5 15 10 20 25 40 45 ANOVA of SS MS Significance F Criminal Age Regression 1 209.16711 209.16711 37.04926 9.439E-06 Residual 18 101.62168 5.6456486 Total 19 310.78878 Criminal Age Victim Age 32 24 Coefficients Standard Errol t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 13.788879 1.6940713 8.1394915 1.914E-07 10.229768 17.347991 10.229768 17.347991 24 20 Criminal Age 0.3931852 0.0645963 6.0868104 9.439E-06 0.2574735 0.5288969 0.2574735 0.5288969 28 25 17 22 RESIDUAL OUTPUT 12 16 34 25 Observation dicted Victim , Residuals indard Residuals 1 26.370806 -2.370806 -1.025132 25 21 2 23.225324 -3.225324 -1.394624 3 24.798065 0.2019346 0.0873161 29 26 4 20.473028 1.526972 0.6602596 18 23 5 18.507102 -2.507102 -1.084066 6 26.999903 -1.799903 -0.778274 13 17 23.697147 -2.697147 -1.166241 8 25.348525 0.9014753 0.3897961 37 28 9/ 20.807235 2.2927646 0.9913867 28 23 10 18.743013 -1.943013 -0.84015 11 28.258095 -0.658095 -0.284559 32 29 12 24.640791 -1.640791 -0.709475 13 26.449443 2.3005567 0.994756 20 25 14 21.47565 3.8243497 1.653641 14 18 19.214835 -0.814835 -0.352333 16 28.981556 -0.001556 -0.000673 39 29 17 25.183387 -1.033387 -0.446834 18 27.082471 3.1050286 1.342608 29 24 19 21.859989 4.7050112 2.0344372 34 30 20 19.486133 -0.166133 -0.071836 21 27 14 19 1. answer the following questions. The data are the ages of criminals and their victims. The regression output is shown in a separate tab from the data. . Is there a significant correlation between the ages of the victims and the criminals? Provide support for your answer, and indicate the strength and direction of the correlation. . Do the data support that a prediction of victim age can be obtained given the data provided in the file? Cite the elements of the output you used to draw your conclusion