Statistics Solutions

[See] Looking at the regression equation above, what do you predict for the father’s education for a person who has a mother with 12 years of education?

Question: Looking at the regression equation above, what do you predict for the father’s education for a person who has a mother with 12 years of education?

Model Summary b
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .639 a .408 .407 3.162
  1. Predictors: (Constant), HIGHEST YEAR SCHOOL COMPLETED, MOTHER
b. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER
ANOVA b
Model Sum of Squares df Mean Square F Sig.
1 Regression 6231.521 1 6231.521 623.457 .000 a
Residual 9045.579 905 9.995
Total 15277.100 906
  1. Predictors: (Constant), HIGHEST YEAR SCHOOL COMPLETED, MOTHER
b. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER
Coefficients a
Model Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B
B Std. Error Beta Lower Bound Upper Bound
1 (Constant) 2.572 .367 7.009 .000 1.852 3.292
HIGHEST YEAR SCHOOL COMPLETED, MOTHER .760 .030 .639 24.969 .000 .701 .820
  1. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER

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Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document


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