A multiple regression analysis produced the following output from Minitab.Regression Analysis: Y versus x and xPredictor Coef SE Coef T PConstant -0.0626 0.2034 -0.31 0.762x 1.1003 0.5441 2.02 0.058x -0.8960 0.5548 -1.61 0.124S = 0.179449 R-Sq = 89.0% R-Sq(adj) = 87.8%Analysis of VarianceSource DF SS MS F PRegression 2 4.7013 2.3506 73.00 0.000ResidualError18 0.5796 0.0322Total 20 5.2809These results indicate that____________ A multiple regression analysis produced the following output from Minitab.Regression Analysis: Y versus X₁ and X2Predictor CoefConstant -0.0626x1x21.1003Analysis of VarianceTotalSE Coef T0.2034DF0.5441SourceRegression 2Residual 18 0.5796ErrorSS-0.8960 0.5548 -1.61 0.124S = 0.179449 R-Sq = 89.0% R-Sq(adj) = 87.8%4.7013-0.3120 5.28092.02These results indicate thatPMS0.762F0.058P2.3506 73.00 0.0000.0322at least one of the variable is significant at 5% leveleach predictor variable is significant at the 5% levelX₂ is the only predictor variable significant at the 5% levelnone of the predictor variables are significant at the 5% levelx₁ is the only predictor variable significant at the 5% level

P-value approach of hypothesis testing: The p-value is calculated using the test statistic (t-test…

A multiple regression analysis produced the following output from Minitab. Regression Analysis: Y versus X₁ and x2 Predictor Coef Constant -0.0626 0.2034 X1 X2 Analysis of Variance SE Coef T 1.1003 0.5441 2.02 -0.8960 0.5548 -1.61 Source DF Regression 2 Residual 18 Error Total 20 S=0.179449 R-Sq - 89.0 % R-Sq(adj) = 87.8% SS -0.31 0.5796 0.0322 5.2809 P MS F P 4.7013 2.3506 73.00 0.000 These results indicate that. 0.762 0.058 0.124 at least one of the variable is significant at 5% level each predictor variable is significant at the 5% level X₂ is the only predictor variable significant at the 5% level none of the predictor variables are significant at the 5% level O x₁ is the only predictor variable significant at the 5% level

A multiple regression analysis produced the following output from Minitab. Regression Analysis: Y versus X₁ and x2 Predictor Coef Constant -0.0626 0.2034 X1 X2 Analysis of Variance SE Coef T 1.1003 0.5441 2.02 -0.8960 0.5548 -1.61 Source DF Regression 2 Residual 18 Error Total 20 S=0.179449 R-Sq - 89.0 % R-Sq(adj) = 87.8% SS -0.31 0.5796 0.0322 5.2809 P MS F P 4.7013 2.3506 73.00 0.000 These results indicate that. 0.762 0.058 0.124 at least one of the variable is significant at 5% level each predictor variable is significant at the 5% level X₂ is the only predictor variable significant at the 5% level none of the predictor variables are significant at the 5% level O x₁ is the only predictor variable significant at the 5% level

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 2E

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