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..«oo T-Mobile 5:46 PM 6%) Variables Entered/Removed Variables Model Entered Variables Removed Method Enter a. Dependent Vari..«oo T-Mobile 5:45 PM 6%) Variables Entered/Removed Variables Model Entered Variables Removed Methood X2, x . Enter a. DepenA researcher uses two regression models to seek answers to two research questions. These models are:

Y1 = Bo1 + B11X1

Y2 = Bo2 + B12X1 + B22X12

Test the null hypotheses for both models. Use the results of your analyses to recommend an appropriate model. In each of the above two cases, state your null and alternative hypotheses, decision criteria, decision and conclusion.

The level of significance is 5%. The data for this study are presented in the table below. Show all your calculations, hypotheses, decision criteria, decisions and conclusions. Highly abbreviated solutions are not admissible.

..«oo T-Mobile 5:46 PM 6%) Variables Entered/Removed Variables Model Entered Variables Removed Method Enter a. Dependent Variable: Y b. All requested variables entered Model Summary usted R Std. Error of the Estimate R Square 245 a. Predictors: (Constant), X Model 495 203282.99487 ANOVA Sum of Squares df Mean Square 1 467237.234 5.834 027 Sig. Model Regression 467237.234 Residual 1441549.72 Total 18 80086.09 19 1908786.95 a. Dependent Variable: Y b. Predictors: (Constant), X Coefficients Standardized Unstandardized Coefficients Coefficients Std. Error Beta Sig. 256 027 Model 218.363 10.016 1.173 2.415 186.086 4.147 495 a. Dependent Variable: Y CONPUTE X2aK * Х. EXECUTE REGRESSION
..«oo T-Mobile 5:45 PM 6%) Variables Entered/Removed Variables Model Entered Variables Removed Methood X2, x . Enter a. Dependent Variable: Y b. All requested variables entered. Model Summary Adjusted R Std. Error of the Estimate R Square Model R 497 247 159 290.73770 a. Predictors: (Constant), X2, X ANOVAa Sum of Squares df Mean Square Model Sig. Regression 471803.953 Residual Total 2 235901.977 2.791 17 84528.412 19 1436983.00 1908786.95 a. Dependent Variable: Y b. Predictors: (Constant), X2, X Coefficientsa Standardized Coefficients Beta Unstandardized Coefficients Std. Error Model Sig. 121.482 15.114 -,059 458.562 22.342 253 Constant 265 676 232 794 508 819 747 257 X2 a. Dependent Variable: Y
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