uestion 32 Use the table below to Give the correlation of age and length. Dependent variable is: Mean Length (mm) No Selector R squared = 97.4% R squared (adjusted) = 96.9% s = 4.943 with 7 - 2 = 5 degrees of freedom Source Sum of Squares df Mean Square F-ratio Regression 4577.29 1 4577.29 187 Residual 122.143 5 24.4286 Variable Coefficient s.e. of Coeff t-ratio prob Constant 156.357 5.030 31.1 ? 0.0001 Age (years) 12.7857 0.9340 13.7 ? 0.0001 About .8 About 1.0 About 0.9 About 0.1
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SUMMARY OUTPUT Regression Statistics Multiple R 0.4543898 R Square 0.2064701 Adjusted R Square 0.1623851 Standard Error 1.4240469 Observations 20 ANOVA df SS MS F Significance F Regression 1 9.497625594 9.497626 4.683456 0.04414537 Residual 18 36.50237441 2.02791 Total 19 46 Coefficients Standard Error t Stat P-value Lower 95% Intercept 5.672082 0.835679513 6.787389 2.34E-06 3.916384472 Age -0.049988 0.023098205 -2.16413 0.044145 -0.098515031
Lien L.
The regression results are attached. Residuals: Min 1Q Median 3Q Max -0.48179 -0.24662 -0.00726 0.22012 0.51987 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.504e-01 1.019e+01 -0.044 0.965202 AGST 6.012e-01 1.030e-01 5.836 1.27e-05 *** HarvestRain -3.958e-03 8.751e-04 -4.523 0.000233 *** WinterRain 1.043e-03 5.310e-04 1.963 0.064416 . Age 5.847e-04 7.900e-02 0.007 0.994172 FrancePop -4.953e-05 1.667e-04 -0.297 0.769578 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.3019 on 19 degrees of freedom Multiple R-squared: 0.8294, Adjusted R-squared: 0.7845 F-statistic: 18.47 on 5 and 19 DF, p-value: 1.044e-06 Interpret the results.
Madhur L.
Regression Analysis: BMI versus AGE Regression Equation BMI = 18.367 + 0.282 AGE Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 18.367 0.953 20.33 0.039 AGE 0.2824 0.0199 9.15 0.0001 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 1.82143 70.28% 71.13% 66.99% Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 1 277.92 277.918 84.77 0.0001 AGE 1 277.92 277.918 84.77 0.0001 Error 35 112.80 3.318 Lack-of-Fit 29 98.69 3.403 1.21 0.461 Pure Error 6 14.11 2.822 Total 36 390.72
Sri K.
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