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In a Regression Analysis of a First-Order Model Involving 3

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In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed. In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed.   = 12 - 18x<sub>1</sub> + 4x<sub>2</sub> + 15x<sub>3</sub> Also, the following standard errors and the sum of squares were obtained.   If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model) , the critical value of F at α = .05 is A)  2.76. B)  4.87. C)  3.10. D)  3.07. = 12 - 18x1 + 4x2 + 15x3 Also, the following standard errors and the sum of squares were obtained. In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed.   = 12 - 18x<sub>1</sub> + 4x<sub>2</sub> + 15x<sub>3</sub> Also, the following standard errors and the sum of squares were obtained.   If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model) , the critical value of F at α = .05 is A)  2.76. B)  4.87. C)  3.10. D)  3.07. If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model) , the critical value of F at α = .05 is


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