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Background Hotel One is one of the two hotels serving Dayville, a small town in the U.S. Midwest. Fifty percent of its customers are out-of-town visitors to the local college, thirty percent are visiting Dayville for business purposes, and the remaining twenty percent of Hotel One's customers are leisure travelers. The hotel is within one mile from campus, approximately four miles from the city center, and 8 miles from the airport. It is easy to reach by car, taxi, or city bus. You are a manager of Hotel One. Your facility consists of 150 rooms, all of which are standard rooms with two Double Beds. Your only competitor in Dayville, The Other Hotel, has fewer rooms (100), but 20 of their rooms are luxury suites with King Beds and a sofa couch (the other 80 are standard rooms with two double beds). This is the extent of the information provided to you at this point Assignments In order to better understand your unit's operating environment, you are asked to provide your estimate of the demand equation that would account for various factors that affect your customer traffic. This will be done by using regression techniques, although you do not, as yet, have any data. The first step in estimating a demand equation is to determine what variables will be used in the regression. Please provide detailed answers to the following questions: What do you think should be the dependent variable in your demand equation? What units of measurement for that variable are you going to adopt? Please provide a detailed explanation for these choices. Please request information about up to five independent (explanatory) variables for your demand equation. For each variable you request, (i) provide reasons why you expect it to be important for your analysis and (ii) explain the expected sign of the relationship between the proposed independent variable and your proposed dependent variable. Show the exact demand equation you are proposing to estimate. List at least three other variables that you considered as independent (explanatory) variables in 1. 2. 3. 4. the regression, but chose not to include. Why did you choose not to include themi