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Sherri Cola Company Has Developed a Regression Model Relating Its α\alpha

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Sherri Cola Company has developed a regression model relating its sales (Y in $10,000s) with four independent variables. The four independent variables are price per unit (PRICE, in dollars), competitor's price (COMPRICE, in dollars), advertising (ADV, in $1,000s) and type of container used (CONTAIN; 1 = Cans and 0 = Bottles). Part of the regression results is shown below. (Assume n = 25)  Sherri Cola Company has developed a regression model relating its sales (Y in $10,000s) with four independent variables. The four independent variables are price per unit (PRICE, in dollars), competitor's price (COMPRICE, in dollars), advertising (ADV, in $1,000s) and type of container used (CONTAIN; 1 = Cans and 0 = Bottles). Part of the regression results is shown below. (Assume n = 25)    a.If the manufacturer uses can containers, his price is $1.25, advertising $200,000, and his competitor's price is $1.50, what is your estimate of his sales? Give your answer in dollars. b.Test to see if there is a significant relationship between sales and unit price. Let  \alpha  = 0.05. c.Test to see if there is a significant relationship between sales and advertising. Let  \alpha  = 0.05. d.Is the type of container a significant variable? Let  \alpha  = 0.05. e.Test to see if there is a significant relationship between sales and competitor's price. Let  \alpha  = 0.05.
a.If the manufacturer uses can containers, his price is $1.25, advertising $200,000, and his competitor's price is $1.50, what is your estimate of his sales? Give your answer in dollars.
b.Test to see if there is a significant relationship between sales and unit price. Let α\alpha = 0.05.
c.Test to see if there is a significant relationship between sales and advertising. Let α\alpha = 0.05.
d.Is the type of container a significant variable? Let α\alpha = 0.05.
e.Test to see if there is a significant relationship between sales and competitor's price. Let α\alpha = 0.05.


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