Unformatted text preview: these data we can reject the null hypothesis. 7. If we hypothesize that X is positively related to Y after controlling for Time, based on these data we can accept the alternative hypothesis. For the following questions, consider regression model in which Y varies linearly with Time and with the Log of X. 8. Controlling for Time, a 3percent increase in X is associated (on average) with a 26.132unit change in Y. 9. Controlling for Time, the lower bound on a 95% confidence interval for the partial regression coefficient associated with X is 192.78835. For the following question, do not include Time in the analysis. 10. Consider a regression model in which Y varies as a polynomial function of X. If we know that the polynomial is less than degree 6, is the highest degree needed to optimally fit these data (based on minimizing the adjusted rsquared) is 4....
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 Fall '11
 PhillipWirtz,RefikSoyer
 Statistics, Regression Analysis, Financial Modeling, Null hypothesis, Prediction interval

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