Exam 9: Analyzing Data: Multiple Variables

Here is some output from a regression analysis: $\text { Model Summary }$ R R Square .43 .190 a. Predictors: (Constant), Age When First Married, Number of Brothers and Sisters, Age of Respondent Standardized Coefficients Model Beta t Sig. 1 Number of Brothers and Sisters .152 5.787 .000 \nobreakspace Age of Respondent .299 11.338 .000 \nobreakspace Age When First Married -.283 -10.802 .000 -What is the research question that is being analyzed here?

Here is some output from a regression analysis: $\text { Model Summary }$ R R Square .43 .190 a. Predictors: (Constant), Age When First Married, Number of Brothers and Sisters, Age of Respondent Standardized Coefficients Model Beta t Sig. 1 Number of Brothers and Sisters .152 5.787 .000 \nobreakspace Age of Respondent .299 11.338 .000 \nobreakspace Age When First Married -.283 -10.802 .000 -Put into words what R² is telling us:

When a relationship between two variables is significant, but disappears when a third control variable is introduced, it is considered a

A partial correlation is the relationship between X and Y when a control variable is introduced.

Here is some output from a regression analysis: $\text { Model Summary }$ R R Square .43 .190 a. Predictors: (Constant), Age When First Married, Number of Brothers and Sisters, Age of Respondent Standardized Coefficients Model Beta t Sig. 1 Number of Brothers and Sisters .152 5.787 .000 \nobreakspace Age of Respondent .299 11.338 .000 \nobreakspace Age When First Married -.283 -10.802 .000 -At your press conference, what would you tell the eager reporters about what you found in your study?

Here is some output from a regression analysis: $\text { Model Summary }$ R R Square .43 .190 a. Predictors: (Constant), Age When First Married, Number of Brothers and Sisters, Age of Respondent Standardized Coefficients Model Beta t Sig. 1 Number of Brothers and Sisters .152 5.787 .000 \nobreakspace Age of Respondent .299 11.338 .000 \nobreakspace Age When First Married -.283 -10.802 .000 -Which of the three independent variables is the best predictor? How can you tell?