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A homework assignment given by mr. John daniels, the director of research for the spirits in a safer society think tank, requesting a multivariate regression analysis on the relationship between alcohol consumption and vehicle fatalities using the provided dataset. The analysis should include variables such as spirits consumption, tax on a case of beer, percentage of young drivers, percentage of southern baptist population, average number of miles per driver, percentage of population living in dry counties, and alcohol-involved vehicle fatality rate. The assignment also asks the student to address partial effects, risks of model building, multicollinearity, interaction effects, and the use of step-wise regression.
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Upon returning from spring break, you find a note on your desk from Mr. John Daniels, the Director of Research for the think tank, Spirits in a Safer Society. Daniels’ note conveys his hope that you would be willing to conduct multivariate research on behalf of the think tank. Mr. Daniels thinks that American society has become drunk on the belief that society’s alcohol consumption explains the incidence of vehicle fatalities. Mr. Daniels confesses to being “a little old fashioned”, still holding to the belief that “drivers cause accidents”, not alcohol.
Still, Mr. Daniels is a reasonable man and wishes to fully appreciate the relationship between liquor and vehicle fatalities. He asks that you use the Auto Fatality Dataset which he has found on the Stock and Watson website under Datasets for Replicating Empirical Results (He wishes that you use as many of the following explanatory variables as you deem appropriate in order to explain the vehicle fatality rate (mrall):
He wants to know if his old fashioned belief is simply out of fashion (but not inaccurate) or if the teetotalers and surgeons general are right, that alcohol consumption really is a significant determinant in the variance of vehicle fatalities. He requests that you communicate the substance of your analysis in memo format. He wishes that you make sure to explain the logic you used when establishing your model.
In addition to your analysis, Mr. Daniels cherishes his intellectual independence and, consequently, wants to be able interpret the data on his own. He requests, therefore, that you address whether he should be on the lookout for (1) partial effects, (2) the principle risks of model building, (3) multicollinearity and (4) interaction effects. Finally, some aides encouraged Mr. Daniels not to “waste his time with statistical hacks” and instead engage in step-wise regression. He wants to know if he was right to ignore these aides.
Robert will be faxing your report to Mr. Daniel’s home in Tennessee at 5:05pm Friday afternoon. Please put your work in Robert’s box by 5pm.