Scenario 3 A manager for a large software company wants to study the factors that affect her company’s sales across different regions of the US.
Scenario 3
A manager for a large software company wants to study the factors that affect her company’s sales across different regions of the US. A recently collected database contains a random sample of 135 sales regions. For each of these regions, data is available on the region’s sales (Y, in dollars), the average price in that region (X1, in dollars), average marketing expenditures in that region (X2, in dollars), and the median household income level for the region (X3). Median household income level is coded as X3=0 if income level is low, and X3=1 if it is high.
The manager has several conjectures about the company’s sales. Using the variable notations Y, X1, X2 and X3, you are asked to construct and interpret a regression model that enables the testing of the manager’s conjectures.
Question 13
1 pts
This question references Scenario 3.
She conjectures that for each increase in price by 1%, sales decrease by at least $15,000. In order to enable the testing of her conjecture, the regression model has to include the following variables
Log(Y) and Log(X1)
Log(Y) and X1
Y and Log(X1)
Y and X1
None of the above
Question 14
1 pts
This question references Scenario 3.
She also conjectures that for every additional dollar spent on marketing, the rate of sales increase is higher in regions with higher median household income levels. In order to enable the testing of her conjecture, the regression model has to include the following variables
X2 and X3
X2, X3 and X2*Y
X2, X3 and X3*log(Y)
X2, X3 and X2*X3
X2,X3 and log(X1)*X2
Question 15
1 pts
This question references Scenario 3.
Consider the regression model Y=a+b2X2+b3X3
. Based on that model, provide a precise economic interpretation for the coefficient b2.
For every increase in marketing expenditures by $1, sales increase/decrease by $.
For every increase in marketing expenditures by $1, sales increase/decrease by (100)( )%
For every increase in marketing expenditures by $1, sales in low median household income regions increase/decrease by (100)()%
For every increase in marketing expenditures by 1%, sales in low median household income regions increase/decrease by $.
None of the above.
Question 16
1 pts
This question references Scenario 3.
Consider the regression model Y=a+b2X2+b3X3
. The manager conjectures that sales are higher in high median household income regions. Based on this conjecture, which of the following is true:
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Scenario 3 A manager for a large software company wants to study the factors that affect her company’s sales across different regions of the US. was first posted on August 9, 2020 at 10:56 am.
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Scenario 3 A manager for a large software company wants to study the factors that affect her company’s sales across different regions of the US. was first posted on August 9, 2020 at 10:57 am.
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