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50 pts | Question 16 Y- Losses1000 as the Response variable (measured in $1000\'

ID: 3061080 • Letter: 5

Question

50 pts | Question 16 Y- Losses1000 as the Response variable (measured in $1000's per year per office) and uses the following as X variables Salr1000 Amount spent in Salary and total compensation at each location in $100 LgComp -1 if there is a large competitor within the office's region located close to the office -0 otherwise (large competitor is far away) Market100 expenditures per year at each office in 100's of dollars, And location of the office. Location is a dummy variable Canada -1 if office is located in Canada - 0 otherwise Omitted Category is USA Mexico -1 if office is located in Mexico; ·0 otherwise Regression Analysis: Losses versus Marketing, LgComp.- The regression output is Predictor Coef SE Coef TP Constant 22500 15250 148 0.146 Market100 -4000 1062 -3.82 0.000 LgComp 10700 4896 2.19 0.034 Salr1000 62.00 19.32 3.22 0.002 Canada -7700 4417 -2.75 0.032 Mexico 1200 3776 0.32 0.752

Explanation / Answer

Here we can check that there is negative coefficient of Canada than Mexico. So we can suggest that to invest more in Canada than Mexico. So here option A is perfect.

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