Stats Solutions

[All Steps] From the Regression procedure, obtain the least-squares estimates for the slope and the intercept. Write the regression equation to predict

Question: From the Regression procedure, obtain the least-squares estimates for the slope and the intercept.

  1. Write the regression equation to predict a husband’s education from his wife’s education. What proportion of the variability in husbands’ education can be "explained" by wives’ education?
  2. What is the predicted value for a husband’s education if his wife’s education is 13 years?

Regression

Variables Entered/Removed b
Model Variables Entered Variables Removed Method
1 wife's education (yrs) a . Enter
  1. All requested variables entered.
b. Dependent Variable: husband's education (yrs)
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .561 a .314 .313 2.42481
  1. Predictors: (Constant), wife's education (yrs)
ANOVA b
Model Sum of Squares df Mean Square F Sig.
1 Regression 1635.068 1 1635.068 278.086 .000 a
Residual 3568.994 607 5.880
Total 5204.062 608
  1. Predictors: (Constant), wife's education (yrs)
b. Dependent Variable: husband's education (yrs)
Coefficients a
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) 5.341 .504 10.598 .000
wife's education (yrs) .620 .037 .561 16.676 .000
  1. Dependent Variable: husband's education (yrs)

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Solution: The downloadable solution consists of 3 pages
Deliverable: Word Document


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