Use the attached output to answer these questions (20 points each part). The data set used in the analysis consists of 1,500 observations taken from the 1993 General Social Survey (GSS; http://www3.norc.org/GSS+Website ), which is conducted nationally by the National Opinion Research Center (NORC; http://www.norc.org/Pages/default.aspx ) at the University of Chicago. The variables are:

Using JMP, conduct a statistical analysis as instructed below and interpret the findings from your results.

1. Use JMP to examine the distributions for each of the selected variables above. What do you conclude from examining the data distributions for these variables that would be important to know for the statistical analysis? How would this information help you interpret results from the analysis?
2. Use JMP to obtain the correlation matrix for these variables. What do you conclude about how the relationships among these variables can help inform your conclusions about the results of the multiple regression models you will estimate later using these variables?
3. Use JMP to estimate what we will call Model A, which predicts polviews from the three education-related independent variables educ , degree , and coneduc ? What do you conclude about the validity of Model A from the information presented in your output? Be specific about the evidence you use to arrive at your conclusion and how that evidence is interpreted.
4. Use JMP to estimate what we will call Model B, which predicts polviews from the three education-related independent variables educ , degree , and coneduc , as well as the other independent variables age, sex, happy, tvhours, race2, partyid2, eqwlth, and helpsick. What do you conclude about the validity of Model B from the information presented in your output? Be specific about the evidence you use to arrive at your conclusion and how that evidence is interpreted.
5. Compare the results for Model B against the corresponding results for Model A, and explain which of these you believe is the "better" model. Defend your answer with specific information and interpretations based on the output, and explain why these are appropriate measures of model adequacy. Can you construct a partial F -test to compare these two models? Why, or why not? Explain how you arrived at your answer, and calculate and interpret the partial- F value if it can be done.

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