Question: Now, we perform the analysis for model (2) in R: > fit = 1m(Y ~ X1 + X2 + X3) > summary (fit) Call :

Now, we perform the analysis for model (2) in R: >

Now, we perform the analysis for model (2) in R: > fit = 1m(Y ~ X1 + X2 + X3) > summary (fit) Call : 1m(formula = Y ~ X1 + X2 + X3) Residuals : Min 1Q Median 3Q Max -1. 72110 -0.71459 0. 02617 0 . 62992 3.04839 Coefficients: Estimate Std. Error t value (Intercept) -0. 002549 0 . 095098 -0. 027 X1 2. 184818 0. 217837 10.030 X2 2.968544 0. 288143 10.302 X3 -0. 063097 0. 907274 -0. 070 Residual standard error: 0.9476 on 96 degrees of freedom Multiple R-squared: 0.938, F-statistic: 484 on 3 and 96 DF, p-value:

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