Estimated function to predict for the future demand

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Reference no: EM13995953

1. Given the data, please construct a multiple linear regression program by MS Excel.

2. Interpret each coefficient of independent variable in the soft drink demand estimated function in question 1.

3. Given your answer in question 1, please comment on whether the regression estimated function is a good fit or not. What is the interpretation of coefficient of determination (R-square)? May we use the estimated function to predict for the future demand? Explain why.

4. How many cans/capita/year on soft drink should be for a state in which 6-pack price=$1.95, Income/Capita=$23,500, and Mean Temp= 68°F?

5. Now omit the price and temperature from the regression equation. Should a marketing plan for soft drinks be designed that relocates most canned drink machines into low-income neighborhoods? Why or why not?

Attachment:- 1483559_2_Copy-of-ECON-3305-Case-1-Data.xls

Reference no: EM13995953

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