MLR_hw(1) - Regression Analysis R Adjusted R R Std Error...

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Regression Analysis R² 0.992 Adjusted R² 0.990 n 23 R 0.996 k 6 Std. Error 0.988 Dep. Var. Y ANOVA table Source SS df MS F p-value Regression 2,029.3451 6 338.2242 346.57 5.13E-16 Residual 15.6149 16 0.9759 Total 2,044.9600 22 Regression output confidence interval variables coefficients std. error t (df=16) p-value 95% lower 95% upper Intercept 3.8718 7.4834 0.517 .6120 -11.9924 19.7359 X1 3.1483 0.0929 33.901 2.50E-16 2.9515 3.3452 X2 -0.9901 0.0581 -17.051 1.10E-11 -1.1132 -0.8670 X3 -0.0263 0.0903 -0.291 .7751 -0.2178 0.1653 X4 1.3541 0.0890 15.208 6.22E-11 1.1653 1.5428 X5 -1.6882 0.5076 -3.326 .0043 -2.7643
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MLR_hw(1) - Regression Analysis R Adjusted R R Std Error...

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