Sales Sales from last year in thousands of squares Expenditures Promotional expe
ID: 3149819 • Letter: S
Question
Sales
Sales from last year in thousands of squares
Expenditures
Promotional expenditures in thousands of dollars
Accounts
Number of active accounts
Competing brands
Number of competing brands producing equivalent or similar products
District potential
A coded indicator of the potential of the district
(higher score = better potential)
Please explain! thank you
The data referred to in this question were collected from several sales districts across the country. The data represent sales for a maker of asphalt roofing shingles. Information on the following variables is available.Sales
Sales from last year in thousands of squares
Expenditures
Promotional expenditures in thousands of dollars
Accounts
Number of active accounts
Competing brands
Number of competing brands producing equivalent or similar products
District potential
A coded indicator of the potential of the district
(higher score = better potential)
Partial SPSS regression output of a multiple regression model with sales as the response variable and the other four variables as predictor variables are given below.
Which of the four explanatory variables seems to be the least significant in the model?
Explanation / Answer
Which of the four explanatory variables seems to be the least significant in the model?
that is because is p value is 0.0000
Which of the four explanatory variables seems to be the least significant in the model?
Competing brandsthat is because is p value is 0.0000
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