This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: sentences. 6. Consider (3) again. Estimate the model and generate residuals ( u_hat i ) and predicted variables ( mort_hat i ). a. Compute the sample correlations between the residuals and logtobacco, residuals and logalcohol, and residuals and logincome. Present the correlations and their pvalues. Explain why the result is trivial. b. Create a scatter plot of mort_hat (Xaxis) and mort (Yaxis). Call it Figure 1 : Mortality and Predicted Mortality . Add labels, etc., using full names. Regress mort on mort_hat (i. .e. mort is the dependent or lefthand variable). Present the usual output in Table 4 . Use the scatter plot and Table 4 results to discuss how well (3) works as a model of mortality. Compare the Rsquared in Tables 3 and 4 . What's going on? Can you prove why this must be so....
View
Full
Document
 Fall '08
 Staff

Click to edit the document details