Dell-EMC
E20-007 · Question #73
Refer to the exhibit. You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the…
The correct answer is A. Variables A,B,and C are significantly impacting sales,but are not effectively estimating sales. See the full explanation below for the reasoning.
Question
Refer to the exhibit. You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only. After a preliminary analysis of the data, the following findings were made: 1. Multicollinearity is not an issue among the variables 2. Only three variables--A, B, and C--have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit. Which interpretation is supported by the analysis?
Options
- AVariables A,B,and C are significantly impacting sales,but are not effectively estimating sales
- BVariables A,B,and C are significantly impacting sales and are effectively estimating sales
- CDue to the R2 of 0.10,the model is not valid ?the linear regression should be re-run with all 15
- DDue to the R2 of 0.10,the model is not valid ?a different analytical model should be attempted
How the community answered
(24 responses)- A83% (20)
- B4% (1)
- C8% (2)
- D4% (1)
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