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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 (y) and two independent variables resulted in the following information. A regression analysis (involving 45 observations) relating a dependent variable (y) and two independent variables resulted in the following information.   = 0.408 + 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 + 3.0x<sub>1</sub> + 12x<sub>2</sub> + 4.0x<sub>3</sub> + 8x<sub>4</sub> This latter model's SSE is 40.At a 5% significance level, test to determine if the two added independent variables contribute significantly to the model. = 0.408 + 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 (y) and two independent variables resulted in the following information.   = 0.408 + 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 + 3.0x<sub>1</sub> + 12x<sub>2</sub> + 4.0x<sub>3</sub> + 8x<sub>4</sub> This latter model's SSE is 40.At a 5% significance level, test to determine if the two added independent variables contribute significantly to the model. = 1.2 + 3.0x1 + 12x2 + 4.0x3 + 8x4
This latter model's SSE is 40.At a 5% significance level, test to determine if the two added independent variables contribute significantly to the model.

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F = 4.5 > 3.23; Reje...

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