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Unformatted text preview: the four variables based on the four-variable multiple regression. Describe the results of the hypothesis tests for the individual regression coefficients (give null and alternative hypotheses, test statistic with degrees of freedom, P-value, and a brief conclusion in words). What is the relationship between these results and the confidence intervals? 4. Plot the residuals versus the predicted rental rates and each of the explanatory variables (i.e. 5 residual plots). Are there any unusual patterns? Describe. 5. Examine the assumption of normality for the residuals using a qqplot and histogram. State your conclusions. 6. Predict the rental rate for the following three properties. Provide a 95% prediction interval with each prediction. Property 1 Property 2 Property 3 X1 (age) 4.0 6.0 12.0 X2 (operating expenses and taxes) 10.0 11.5 12.5 X3 (vacancy rates) 0.10 0.32 X4 (total square footage) 80,000 120,000 340,000...
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This note was uploaded on 02/05/2011 for the course STAT 512 taught by Professor Staff during the Spring '08 term at Purdue University-West Lafayette.
- Spring '08