Question 2 The Researcher Decides To Create A Regression Model To Identify The Effect Of Each Factor A Based On The Ab 1 (50.5 KiB) Viewed 31 times
Question 2 The Researcher Decides To Create A Regression Model To Identify The Effect Of Each Factor A Based On The Ab 2 (29.8 KiB) Viewed 31 times
Question 2 The Researcher Decides To Create A Regression Model To Identify The Effect Of Each Factor A Based On The Ab 3 (29.8 KiB) Viewed 31 times
Question 2 The researcher decides to create a regression model to identify the effect of each factor. A. Based on the above research background, write down all possible research hypotheses. (10%) B. Is the overall regression model significant? (5%) C. Report adjusted R square value, and explain its meaning based on the actual value. (10%) D. Based on the results of the regression tests and given the alpha value of 0.05., are the above hypotheses supported? (15%) E. Write down the regression equation based on the unstandardized regression coefficients (10%) F. Which independent variable has the strongest effect? Why? (10%) G. Create a table to wrap up the information in APA style. (Hint: You can follow the example on Slide 56 of the regression analysis slideshow.) (20%) You need to present your conclusions in APA style! Variables Entered/Removed Variables Variables Entered Removed Method childs Enter ▸ NUMBER OF CHILDREN, income TOTAL FAMILY INCOME, age AGE OF RESPONDEN TD a. Dependent Variable: emailhr EMAIL HOURS PER WEEK b. All requested variables entered. Model Summary Std. Error of Adjusted R Square Model R the Estimate R Square .016 1 .126³ .013 13.029 a. Predictors: (Constant), childs NUMBER OF CHILDREN, income TOTAL FAMILY INCOME, age AGE OF RESPONDENT Model 1
ANOVA df Model Sum of Squares Mean Square Sig. .002b Regression 2609.686 3 869.895 5.124 Residual 161105.263 949 169.763 Total 163714.949 952 a. Dependent Variable: emailhr EMAIL HOURS PER WEEK b. Predictors: (Constant), childs NUMBER OF CHILDREN, income TOTAL FAMILY INCOME, age AGE OF RESPONDENT Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta 1 (Constant) 7.728 2.339 -.075 .028 age AGE OF RESPONDENT income TOTAL FAMILY INCOME .307 .195 child's NUMBER OF -.449 .294 CHILDREN a. Dependent Variable: emailhr EMAIL HOURS PER WEEK t 3.303 -.093 -2.657 .051 1.569 -.053 -1.528 Sig. .001 .008 .117 .127
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