C9. We further explore the relationship between respondent’s education and mother’s education, computing regression models separately for males and females.

1. Calculate the regression equation for each.

2. What is the predicted value of respondent’s education when mother’s education is 15 years?

3. For which gender group is the relationship between respondent’s education and mother’s education strongest? Explain.

Linear Regression Output Specifying the Relationship Between Respondent Level of Education by Mother’s Level of Education: Males Only

Description Linear Regression Output Specifying the Relationship Between Respondent Level of Education by Mother’s Level of Education: Females Only

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Model Summary Model 1 R .404b R Square .163 Adjusted R Square Std. Error of the Estimate .162 2.694 a. Respondents sex = MALE b. Predictors: (Constant), Mothers highest degree Model 1 Regression Residual Total Sum of Squares 619.947 3171.989 3791.936 a. Respondents sex = MALE ANOVA df 1 Mean Square 619.947 F 85.409 Sig. .000 437 7.259 438 b. Dependent Variable: Highest year of school completed c. Predictors: (Constant), Mothers highest degree Model 1 (Constant) Mothers highest degree a. Respondents sex = MALE Coefficients.b Unstandardized Coefficients B Std. Error 12.447 1.055 .191 .114 b. Dependent Variable: Highest year of school completed Standardized Coefficients Beta t .404 65.189 9.242 Sig. .000 .000