A multiple regression model with dependent variable Y and explanatory variables X1, X2, X3 and X4 is run in Megastat with the following results:

Regression Analysis R7 0.728 Adjusted R3 0.722 n 192 R 0 853 k 4 Std. Error 1.680 Dep. Var. Y ANOVA table Source SS MS F p value Regression 1,410.32560744 4 352.58140186 124.91 1.05E-51 Residual 527.85135947 187 2.82275059 Total 1,938.17996691 191 Regression output confidence interval variables coefficients std. error t (df=187) p value 95% lower 95% upper VIF -....... Intercept 2.5766 X1 0.0011 0.00044592 -2.391 0178 -0.0019 -0.0002 2.450 X2 0.2907 0.0107 7.150 1.90E-11 0.2105 0.3709 454.839 X3 -0.3716 0.0473 -7.855 3.04E-13 -0.4650 -0.2783 467.757 X4 -1.4507 0.5577 -2.601 0100 2.5509 0.3506 3.796 232.211 mean VIF