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A Regression Analysis Involving 45 Observations Relating a Dependent Variable

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A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information.
A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information. ​   = .408 + 1.3387x<sub>1</sub> + 2x<sub>2</sub> ​ The SSE for the above model is 49. When two other independent variables were added to the model, the following information was provided. ​   = 1.2 + 3x<sub>1</sub> + 12x<sub>2</sub> + 4x<sub>3</sub> + 8x<sub>4</sub> ​ This model's SSE is 40. ​ At a .05 level of significance, test to determine if the two added independent variables contribute significantly to the model. = .408 + 1.3387x1 + 2x2

The SSE for the above model is 49. When two other independent variables were added to the model, the following information was provided.
A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information. ​   = .408 + 1.3387x<sub>1</sub> + 2x<sub>2</sub> ​ The SSE for the above model is 49. When two other independent variables were added to the model, the following information was provided. ​   = 1.2 + 3x<sub>1</sub> + 12x<sub>2</sub> + 4x<sub>3</sub> + 8x<sub>4</sub> ​ This model's SSE is 40. ​ At a .05 level of significance, test to determine if the two added independent variables contribute significantly to the model. = 1.2 + 3x1 + 12x2 + 4x3 + 8x4

This model's SSE is 40.

At a .05 level of significance, test to determine if the two added independent variables contribute significantly to the model.

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F = 4.5; p-value is between .0...

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