Question: A multiple regression analysis produced the following tables: Predictor Coefficients Standard Error t Statistic p-value Intercept 752.0833 336.3158 2.236241 0.042132 x1 11.87375 5.32047 2.031711 0.082493

A multiple regression analysis produced the following tables: Predictor Coefficients Standard Error t Statistic p-value Intercept 752.0833 336.3158 2.236241 0.042132 x1 11.87375 5.32047 2.031711 0.082493 x2 1.908183 0.662742 2.879226 0.01213 Source df SS MS F p-value Regression 2 203693.3 101846.7 6.745406 0.010884 Residual 12 181184.1 15098.67 Total 14 384877.4 These results indicate that: Question 8 options: 1) none of the predictor variables are significant at the 5% level 2) each predictor variable is significant at the 5% level 3) x1 is the only predictor variable significant at the 5% level 4) x2 is the only predictor variable significant at the 5% level 5) the intercept is not significant at the 5% level

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