A multiple regression analysis produced the following tables: The regression equation for this analysis is ___. A)y = 616.6849 + 3.33833 x₁ + 1.780075 x₂ B)y = 154.5535 - 1.43058 x₁ + 5.30407 x₂ C)y = 616.6849 - 3.33833 x₁ - 1.780075 x₂ D)y = 154.5535 + 2.333548 x₁ + 0.335605 x₂ E)y = 616.6849 - 3.33833 x₁ + 1.780075 x₂

Question

Quizplus · Accepted Answer

The regression equation is in the form y = intercept + β1x1 + β2x2, where y is the dependent variable, x1 and x2 are the independent variables, β1 and β2 are the coefficients for the independent variables, and the intercept is the predicted value of y when both x1 and x2 are zero. Looking at the tables, we can see that the intercept is 616.6849, the coefficient for x₁ is -3.33833, and the coefficient for x₂ is 1.780075. Plugging these values into the regression equation gives: y = 616.6849 - 3.33833 x₁ + 1.780075 x₂ Therefore, the best choice is E.

A Multiple Regression Analysis Produced the Following Tables