Me! location score factor (100 points each) weight a b c convenience .15 84 76 80 parking facilities .20 82 78 96 display area .18 90 96 96 shopper traffic .27 84 89 96 operating costs .10 92 93 87 neighborhood .10 80 88 85 1.00 a. using the above factor ratings, calculate the composite score for each location. (do not round intermediate calculations. round your final answers to 2 decimal places.) location composite score a, b . c . b. determine which location alternative (a, b, or c) should be chosen on the basis of maximum composite score.

Whether you use a calculator, spreadsheet, or other program to do these, the most difficult part is the data entry. The formula is trivially simple: multiply each rating by the associated weight and add the results to get the total for each option. This operation is handled automatically by matrix multiplication.

Multiply the weight vector by the factor matrix. The result is the vector of composite scores:

A: 85.08

B: 86.41

C: 91.60 . . . . . maximum composite score

according to this law, when unemployment goes up by 1%, gdp drops by 2%. in the question, unemployment rate goes from 2% to 5%, meaning unemployment goes up by 3%, so the gdp drops by 6%. thus the effect is a drop in gdp by 6%.

step-by-step explanation: