need assistance

Review "Simple Regression Models Case Study: Mystery Shoppers" for this topic's case study, a request

to evaluate consignment stores from mystery shopper data.

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).

Mac users can use StatPlus:mac LE, free of charge,

from AnalystSoft.

StatPlus:mac LE can be used with Excel 2011 to perform statistical functions.

Go to the AnalystSoft website and follow the installation

instructions:

http:

//www.analystsoft.com/en/products/statplusmacle/

.

Once installed, Apple users can use StatPlus:mac LE to complete homework problems that require the

use of Excel's data analysis statistical functions.

Prepare the written portion of this assignment accordin

g to the guidelines found in the APA Style

Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become

familiar with the expectations for suc

cessful completion.

You are not required to submit this assignment to Turnitin.

BUS

-

660

-

RS

-

T3SimpleRegressionModelsCaseStudyMysteryShoppers.docx

Please Note: Assignment will not be submitted to the faculty member until the "Submit" button under "Final

Submission" is clicked.

Review "Simple Regression Models Case Study: Mystery Shoppers" for this topic's case study, a request

to evaluate consignment stores from mystery shopper data.

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).

Mac users can use StatPlus:mac LE, free of charge, from AnalystSoft.

StatPlus:mac LE can be used with Excel 2011 to perform statistical functions.

Go to the AnalystSoft website and follow the installation

instructions: http://www.analystsoft.com/en/products/statplusmacle/.

Once installed, Apple users can use StatPlus:mac LE to complete homework problems that require the

use of Excel's data analysis statistical functions.

Prepare the written portion of this assignment according to the guidelines found in the APA Style

Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become

familiar with the expectations for successful completion.

You are not required to submit this assignment to Turnitin.

BUS-660-RS-T3SimpleRegressionModelsCaseStudyMysteryShoppers.docx

Please Note: Assignment will not be submitted to the faculty member until the "Submit" button under "Final

Submission" is clicked.