SOC Load the GSS2012 data set and analyze the relationships between church attendance (the dependent or Y variable), and two independent variables: age and number of children. You analyzed some of these relationships in Problem 12.7. Now, we will use both partial correlation and multiple regression and correlation to further examine these relationships.
● Zero-order correlations.
● Click Analyze S Correlate S Bivariate.
● Enter attend, age, and childs in the Variables:
window.
● Click OK.
● Partial Correlation Analysis: Is the relationship between attend and age affected by childs?
● Click Analyze S Correlate S Partial.
● Enter attend and age in the “Variables:” window and childs in the “Controlling for:” window.
● Click OK.
● Partial Correlation Analysis: Is the relationship between attend and childs affected by age?
● Click Analyze S Correlate S Partial.
● Enter attend and childs in the “Variables:” window and age in the “Controlling for:” window.
● Click OK.
● Multiple Regression and Correlation: What are the effects of childs and age on attend?
● Click Analyze S Regression S Linear.
● Move attend to the “Dependent” window and age and childs to the “Independent” window ● Click Statistics and check “Descriptives”. Click Continue to return to the “Linear Regression”
screen.
● Click OK.

a. Summarize the results for the partial correlation analysis in a paragraph in which you report the value of the zero-order and partial correlations for all relationships. Does the relationship between attend and age seem to be direct? How about the relationship between attend and childs?

b. State the unstandardized multiple regression equation. (HINT: The values for a and b are in the “Coefficients” box of the output, under the column labeled B. The value in the first row is a and the values in the second and third rows are the slopes or b.)
Y 5 ___ 1 ___ X1 1 ___ X2

c. State the standardized multiple regression equation. What is the direction of each relationship?
Which independent variable had the stronger effect on attend? (HINT: The beta-weights are in the “Coefficients” box, under “Standardized Coefficients” and “Beta”).
Zy 5 ____ Z1 1 ___ Z2

d. Report the value of R2 . What percentage of the variance in attend is explained by the two independent variables combined? How does this compare to the amount of the variance explained by each independent variable alone? (HINTS: R2 is in the “Model Summary” box. You can compute r2 from the r’s in the “Correlations” window of the output.)
Bivariate: r r 2 attend and childs age Multiple: R 2 5