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Which of the following statements is the CORRECT expression in APA format of the SPSS simple linear regression results provided below? 4 R Model Summary Adjusted R Square R Square 817 .668 a. Predictors: (Constant), Experience years (year) ANOVA Regression Residual Sum of Squares 92.844 46.118 138.962 .627 df Std. Error of the Estimate 2.401 1 Mean Square 92.844 5.765 Total a. Dependent Variable: Income (10 million VND/month) b. Predictors: (Constant), Experience years (year) Coefficients Unstandardized Coefficients B Std. Error (Constant) -.651 Experience years (year) 7856642.174 37841636.85 a. Dependent Variable: Income (10 million VND/month) 162 Standardized Coefficients Beta -.817 F 16.105 -4.013 208 Sig. 004 Sig. 004 841 A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was NOT a significant predictor of Income, 3= -0.82, t(9)=-4.013, p>0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was a significant predictor of Experience in Years, 3=-0.815, t(208)=0.82, p<0.05, and accounted for 62.70% of the variance in Experience in Years scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was a significant predictor of Income, 3= -0.82, t(9)= -4.013, p<0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was NOT a significant predictor of Experience in Years, 3= -0.815, t(208)-0.82, p>0.05, and accounted for 62.70% of the variance in Experience in Years scores.

Which of the following statements is the CORRECT expression in APA format of the SPSS simple linear regression results provided below? 4 R Model Summary Adjusted R Square R Square 817 .668 a. Predictors: (Constant), Experience years (year) ANOVA Regression Residual Sum of Squares 92.844 46.118 138.962 .627 df Std. Error of the Estimate 2.401 1 Mean Square 92.844 5.765 Total a. Dependent Variable: Income (10 million VND/month) b. Predictors: (Constant), Experience years (year) Coefficients Unstandardized Coefficients B Std. Error (Constant) -.651 Experience years (year) 7856642.174 37841636.85 a. Dependent Variable: Income (10 million VND/month) 162 Standardized Coefficients Beta -.817 F 16.105 -4.013 208 Sig. 004 Sig. 004 841 A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was NOT a significant predictor of Income, 3= -0.82, t(9)=-4.013, p>0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was a significant predictor of Experience in Years, 3=-0.815, t(208)=0.82, p<0.05, and accounted for 62.70% of the variance in Experience in Years scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was a significant predictor of Income, 3= -0.82, t(9)= -4.013, p<0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was NOT a significant predictor of Experience in Years, 3= -0.815, t(208)-0.82, p>0.05, and accounted for 62.70% of the variance in Experience in Years scores.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Which of the following statements is the CORRECT expression in APA format of the SPSS simple linear regression results provided below? Model Summary Adjusted R Square R R Square 817 .668 627 a. Predictors: (Constant), Experience years (year) ANOVA Regression Residual Sum of Squares 92.844 46.118 138.962 df Std. Error of the Estimate 2.401 1 Total a. Dependent Variable: Income (10 million VND/month) b. Predictors: (Constant), Experience years (year) Mean Square 92.844 5.765 Coefficients Unstandardized Coefficients B Std. Error (Constant) -.651 Experience years (year) 7856642.174 37841636.85 a. Dependent Variable: Income (10 million VND/month) .162 Standardized Coefficients Beta -.817 F 16.105 -4.013 .208 Sig. 004 Sig. 004 .841 A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was NOT a significant predictor of Income, 3= -0.82, t(9)= -4.013, p>0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was a significant predictor of Experience in Years, 3= -0.815, t(208)=0.82, p<0.05, and accounted for 62.70% of the variance in Experience in Years scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was a significant predictor of Income, 3= -0.82, t(9)= -4.013, p<0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was NOT a significant predictor of Experience in Years, 3= -0.815, t(208)=0.82, p>0.05, and accounted for 62.70% of the variance in Experience in Years scores.
Transcribed Image Text:Which of the following statements is the CORRECT expression in APA format of the SPSS simple linear regression results provided below? Model Summary Adjusted R Square R R Square 817 .668 627 a. Predictors: (Constant), Experience years (year) ANOVA Regression Residual Sum of Squares 92.844 46.118 138.962 df Std. Error of the Estimate 2.401 1 Total a. Dependent Variable: Income (10 million VND/month) b. Predictors: (Constant), Experience years (year) Mean Square 92.844 5.765 Coefficients Unstandardized Coefficients B Std. Error (Constant) -.651 Experience years (year) 7856642.174 37841636.85 a. Dependent Variable: Income (10 million VND/month) .162 Standardized Coefficients Beta -.817 F 16.105 -4.013 .208 Sig. 004 Sig. 004 .841 A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was NOT a significant predictor of Income, 3= -0.82, t(9)= -4.013, p>0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was a significant predictor of Experience in Years, 3= -0.815, t(208)=0.82, p<0.05, and accounted for 62.70% of the variance in Experience in Years scores. A regression analysis was conducted with Income as criterion variable and Experience in Years as the predictor. Experience in Years was a significant predictor of Income, 3= -0.82, t(9)= -4.013, p<0.05, and accounted for 66.80% of the variance in Income scores. A regression analysis was conducted with Experience in Years as criterion variable and Income as the predictor. Income was NOT a significant predictor of Experience in Years, 3= -0.815, t(208)=0.82, p>0.05, and accounted for 62.70% of the variance in Experience in Years scores.
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