Produce a descriptive report of on the findings of data

analysis.

SUMMARY OUTPUT Regression Statistics Multiple F 0.039961 R Square 0.001597 Adjusted ] 0.001564 Standard| 0.414737 Observati 30000 ANOVA df SS MS F gnificance F Regression 18.252696 8.252696 47.97885 4.4E-12 Residual 29998 5159.864 0.172007 Total 29999 5168.117 Coefficientandard Eri t Stat P-value Lower 95%Upper 95%ower 95.09pper 95.0% Intercept 0.275582 0.008208 33.57442 1.2E-242 0.259494 0.29167 0.259494 0.29167 SEX -0.03391 0.004895 -6.92668 4.4E-12 -0.0435 -0.02431 -0.0435 -0.02431 SUMMARY OUTPUT Regression Statistics Multiple F 0.028006 R Square 0.000784 Adjusted 1 0.000751 Standard 0.414906 Observati 30000 ANOVA if SS MS F gnificance F Regression 1 4.053563 4.053563 23.54711 1.23E-06 Residual 29998 5164.063 0.172147 Total 29999 5168.117 Coefficientandard Eri t Stat P-value Lower 95%Upper 95%ower 95.0Upper 95.0% Intercept 0.193945 0.006106 31.76178 8.9E-218 0.181976 0.205913 0.181976 0.205913 EDUCATO.014708 0.003031 4.852537 1.23E-06 0.008767 0.020649 0.008767 0.020649 SUMMARY OUTPUT Regression Statistics Multiple F 0.024339 R Square 0.000592 Adjusted ] 0.000559 Standard 0.414946 Observatio ANOVA df SS MS F gnificance Regression 1 3.061579 3.061579 17.78127 2.49E-05 Residual 29998 5165.055 0.17218 Total 29999 5168.117 Coefficientandard Eni t Stat P-value Lower 95%Upper 95tower 95.09pper 95.0% Intercept 0.251235 0.007515 33.43187 1.2E-240 0.236506 0.265964 0.236506 0.265964 MARRIA( -0.01935 0.00459 -4.21678 2.49E-05 -0.02835 -0.01036 -0.02835 -0.01036 SUMMARY OUTPUT Regression Statistics Multiple F 0.01389 R Square 0.000193 Adjusted ] 0.00016 Standard 0.415029 Observati ANOVA df SS MS F gnificance F Regression 1 0.997072 0.997072 5.788556 0.016137 Residual 29998 5167.12 0.172249 Total 29999 5168.117 Coefficientandard Eni t Stat P-value Lower 95%Upper 95%tower 95.0Upper 95.0% Intercept 0.199006 0.009531 20.88067 3.88E-96 0.180326 0.217687 0.180326 0.217687 AGE 0.000625 0.00026 2.405942 0.016137 0.000116 0.001135 0.000116 0.001135 SUMMARY OUTPUT Regression Statistics Multiple F 0.053856 R Square 0.0029 Adjusted ] 0.002768 Standard 0.414487 Observati 30000 ANOVA SS MS F gnificance F Regression 4 14.99009 3.747522 21.81335 5.36E-18 Residual 29995 5153.127 0.1718 Tota 29999 5168.117 Coefficientandard Eni t Stat P-value Lower 95%Upper 95tower 95.09pper 95.0% Intercept 0.288322 0.018738 15.38736 3.18E-53 0.251596 0.325049 0.251596 0.325049 SEX -0.03518 0.004929 -7.13751 9.72E-13 -0.04484 -0.02552 -0.04484 -0.02552 EDUCATO.013622 0.003086 4.41427 1.02E-05 0.007574 0.019671 0.007574 0.019671 MARRIA( -0.01882 0.005067 -3.71433 0.000204 -0.02875 -0.00889 -0.02875 -0.00889 AGE -0.00019 0.00029 -0.6563 0.511638 -0.00076 0.000378 -0.00076 0.000378