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5. c) Run other regression{s) that you believe might be helpful in determining which stores to investigate in further detail. You need only include the

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5. c) Run other regression{s) that you believe might be helpful in determining which stores to investigate in further detail. You need only include the residual output (top six) from two of these additional regressions in your Word write-up [but can include more as to test consistency of results, etc., you probably want to 111.11 more). Post your stores selected by the various regressions in R3 and R4 in your Summary Table. In addition, for this part, you need to document in your Word write-up which variables are in each model in your write-up. (1) Select six stores based on all the regression analyses work that \"look interesting,\" again emphasizing possible overstated salesadd this to the Rom-HALL column of your Summary Table. In your Word write-up explain how you selected the stores. Overall Combine the results of your entire analysis to select stores for investigation and discuss how you selected them. That is, don't just rely on any one of the above methods, unless you really have faith in it. Record the stores you select in the last column of the summary table. You should select 5 stores. Deciding which stores to investigate in detail is very important since the additional procedures you follow for those stores, while costly, will likely find misstatements. Yet, examining them all in detail is cost prohibitive. There are 20 points that are allotted for the overall accuracy and the quality of the write- up. The analysis should be easy for a person to follow. There is one point available for each store that you correctly select. Since there are three stores that have large overstated sales. the maximum score you can receive is 25 points

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