Question

In: Statistics and Probability

LETTER FROM THE BOSS

 

From: Pat Turner
Sent: Thursday, July 7, 2016 8:57 a.m.
Subject: Mystery Data Shopper Stats and Store Performance?

Good morning! Welcome back from vacation J I hope you had a wonderful Fourth of July.

The last mystery shopper surveys came in and I have the final numbers. I am interested in whether there is a way to predict the final average based on the initial survey score. Also, is there a statistically significant relationship between how stores initially performed and what the overall average is?

The initial survey score and the final average data for all seven store locations is in the table below:

Store

1

2

3

4

5

6

7

Initial Survey Score

83

97

84

72

85

64

93

Final Average

78

98

92

75

88

70

93

Also, how good is the relationship between Initial Survey Score and the Final Average? Could I use an Initial Survey Score to predict a Final Average? In fact, could I predict a Final Average if I have an Initial Survey Score of 90?

If you could have this to me before the weekend, that would be great.

Thanks so much!

Pat Turner, Owner

Chic Sales Consignment, LLC

Solutions

Expert Solution

Ans:

Store Intial(x) Final(y) xy x^2 y^2
1 83 78 6474 6889 6084
2 97 98 9506 9409 9604
3 84 92 7728 7056 8464
4 72 75 5400 5184 5625
5 85 88 7480 7225 7744
6 64 70 4480 4096 4900
7 93 93 8649 8649 8649
Total= 578 594 49717 48508 51070

slope,b=(7*49717-578*594)/(7*48508-578^2)=0.8565

intercept,a=(594-0.85654*578)/7=14.131

Regression eqn:

Perdicted final score=0.8565*intial score+14.131

Correlation cofficient,r=(7*49717-578*594)/SQRT((7*48508-578^2)*(7*51070-594^2))=0.929

There is strong positive correlation between intial and final scores

cofficient of determination,r^2=0.929^2=0.863,which indicates that 86.3% of the linear variation in final score is explained by the intial score.


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