# Simple Regression

Assignment: Through analysis of the SPSS output, answer the following questions.

1. What is the total sample size?
2. What is the mean income and mean number of hours worked?
3. What is the correlation coefficient between the outcome and predictor variables? Is it significant? How would you describe the strength and direction of the relationship?
4. What it the value of R squared (coefficient of determination)? Interpret the value.
5. Interpret the standard error of the estimate? What information does this value provide to the researcher?
6. The model fit is determined by the ANOVA table results (F statistic = 37.226, 1,376 degrees of freedom, and the p value is .001). Based on these results, does the model fit the data? Briefly explain. (Hint: A significant finding indicates good model fit.)
7. Based on the coefficients, what is the value of the y-intercept (point at which the line of best fit crosses the y-axis)?
8. Based on the output, write out the regression equation for predicting family income.
9. Using the regression equation, what is the predicted monthly family income for women working 35 hours per week?
10. Using the regression equation, what is the predicted monthly family income for women working 20 hours per week?

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