Question: Please give me Answer fastly Statistics and Probability Coefficients Standard Error t Stat P-value Lower 9. Intercept 34.38278216 2.932853 11.72332 5.14E-23 28.58836 sex 1.618997232 0.581019
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Statistics and Probability Coefficients Standard Error t Stat P-value Lower 9. Intercept 34.38278216 2.932853 11.72332 5.14E-23 28.58836 sex 1.618997232 0.581019 2.7864780.0060080.471081 age -0.00130022 0.022604 -0.057520.954206 -0.04596 tmast 0.18241791 0.09956 -1.83225 0.068872 -0.37912 tposaff 0.19497845 0.053637 -3.63514 0.00038 -0.30095 thegaff 0.355946981 0.047785 7.4489346.58E-12 0.261539 toptim -0.04860806 0.084943 -0.572240.568001 -0.21643 tlifesat -0.22511079 0.052606 -4.2792 3.31E-05 -0.32904 ANOVA df SS MS F Significan Regression 7 4064.291 580.613 47.34096 4.13E-35 Residual 152 1864.203 12.26449 Total 159 5928.494 20% MSE Test 19.441220271907 80% MSE Calibration12.26449362 7.176726650258 Regression Statistics Multiple R 0.827980673 R Square 0.685551995 Adjusted R Square 0.671070837 Standard Error 3.502069905 Observations 160 Generalization results on test sample Analyze the results comparing MSEcalib and MSEtest. Regression results Adjusted RZ, F-stat, p-value, estimates of IDV coefficients, regression equation, t-tests for identification of significant IDVs, residual analysis plots, and, normality plot Conclusion about Implementation Conclude whether the model is implementable by summarizing the regression and the generalization results
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