quantative methods problem

Based on the information presented in the case study, create a regression model to determine the most appropriate recommendation.

Prepare a 250-500-word response to Mrs. Turner's questions about predicting final scores, statistical significance, and whether a store location should be closed based on the data provided. Explain your approach and the rationale for this method. Evaluate the outcomes of your regression model and the responses to Mrs. Turner's questions.

Submit a copy of the Excel spreadsheet file you used to design your regression model and to determine statistical significance.

Note: Students should use Excel's regression option to perform the regression.

Use an Excel spreadsheet file for the calculations and explanations. Cells should contain the formulas (i.e., if a formula was used to calculate the entry in that cell).

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 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