A-1 Car Rental with Regression

  Instructions: A-1 Car Rental is one of the two car rental agencies confined a baby bounded airport in the U.S. Midwest. Forty per cent (40%) of its barter are airline cartage and the actual sixty per cent (60%) are citizenry of the baby adjacent academy boondocks who use rental cars for business and leisure trips. The airport is aural two afar from campus and about six afar from the burghal center. It is accessible to ability by car, taxi, or burghal bus. You are a administrator of A-1 Car Rental. Your agile consists of 72 cars, of which 47 abatement into the “economy” chic and 25 in the “luxury” class. Whenever appeal for cars in some chic exceeds the cardinal of cars available, added cartage can be delivered from the abutting aggregation hub in the accompaniment basic 70 afar away. Alternatively, some barter clumsy to hire an economy-class car may be upgraded to a luxury-class car at no added amount to them. Your alone adversary at this area has a added adult arrangement of car class tiers, which abide of Compact, Economy, Mid-size, and Large cars. Assignment: In adjustment to bigger accept your unit’s operating environment, you are asked to accommodate an appraisal of the appeal blueprint that would annual for assorted factors that affect your chump traffic. Estimating the appeal blueprint is advantageous for approaching assay of your unit’s performance. Review the abstracts book that your agents has put calm for this assay and analyze which variables you would like to accommodate in your appeal function. For anniversary capricious you accept to include, accommodate affidavit why you apprehend it to be important for your analysis. Also explain the accepted assurance of the accord amid the proposed absolute capricious and the abased variable. Estimate the appeal action for A-1 Car Rental application corruption techniques. Make abiding you accommodate an estimation of all coefficients of your estimated appeal function. Submit a address (Word document) and your assay (Excel file) for grading.

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