Using the information below, give an explanation for the difference in results b

Question

Using the information below, give an explanation for the difference in results between Analysis A and Analysis B. Analysis A: You collect aggregate sales data and find that customers over age 50 have twice the sales closure rate as customers under 30.   Analysis B: You build a logistic regression model to predict sales closure, using the following variables:   Customer Age (under 30; 30-49; 50+) Price (continuous variable) Vehicle Type (compact; sedan; luxury; pickup; other) Sales Channel (phone; internet; other) Results: The results of the logistic regression model show that -- with the other characteristics at base level -- customers over 50 have the same sales closure rate as customers under 30.   Using the information below, give an explanation for the difference in results between Analysis A and Analysis B. Analysis A: You collect aggregate sales data and find that customers over age 50 have twice the sales closure rate as customers under 30.   Analysis B: You build a logistic regression model to predict sales closure, using the following variables:   Customer Age (under 30; 30-49; 50+) Price (continuous variable) Vehicle Type (compact; sedan; luxury; pickup; other) Sales Channel (phone; internet; other) Results: The results of the logistic regression model show that -- with the other characteristics at base level -- customers over 50 have the same sales closure rate as customers under 30.  

Explanation / Answer

On the basis of single variable, the dependent variable does not gives suitable results because sales is not depend only customer but also depend on other variables such as price, vehicle type in analysis B. So, analysis B give a better interpretation of this data when include more variables which directly impact the sales. This shows that at any age sales does not change that means sales of vehicle is free from age data.

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