Question 17 50 p Y- Losses1000 as the Response variable (measured in $1000\'s pe

Question

Question 17 50 p 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 $1000 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 - O otherwise Omitted Category is USA Mexico -1 if office is located in Mexico = 0 otherwise 2) Regression Analysis: Loss1000 versus Marketing, LgComp.,. The regression output is Predictor Coef SE CoefTP Constant 22500 15250 1.48 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 seen that there is coefficient of Canada is, - 7700, that is we can surels says that if we incresin one unit of value of canada then the response will decrease by 7700. Hence in this scenario the best optopt is C. We also can note that the coefficient of Canada is significantly effective this we got from p-value if the Canada. HenHe ansans is option C

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