A multiple linear regression analysis involving 45 observations resulted in the

Question

A multiple linear regression analysis involving 45 observations resulted in the following least squares prediction equation: y = .408 + 1.3387x1 + 2.1X2 The SSE for this model is 49. Adding two other independent variables to the model resulted in the following multiple linear regression equation: y = 1.2 + 3xt + 12x2 +4x3 + 8X4. The SSE for the newer model is 40. At o. = .05. test to determine if at least one of the two new independent variables make a significant contribution to the multiple regression model.

Explanation / Answer

A multiple linear regression analysis involving 45 observations resulted in the

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