DV = sales ($,000), IV = days_open, staff, parking, pop. (,000), competitors, university, promos

Based on the regression you've already run (described above), what sales would you expect from a store with the following characteristics? (round your answer to 1 decimal point)

• days_open = 501
• staff = 13
• parking = 16
• pop. (,000) = 156
• competitors = 1
• university = 0
• promos = 1

Hints:

• Include ALL predictors ( regardless of statistical significance)
• Include the intercept in your prediction (regardless of statistical significance)
• Remember to use the same units -- for instance, if you think the answer is "$127,000" you should only enter "127" because the sales data is already coded in $,000 units. Frankly, if you just use the above values and the coefficients from your regression, the result will already be in the correct units (i.e., you will get "127" if the real answer is "$127,000"), and you can enter that result below.