IS 3310 TU Independent Research Project Report Memorandum

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Business Finance

IS 3310

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10/27/2019 Data Analytics Exercise 6 Data Analytics Exercise 6 Re-submit Assignment Due Tuesday by 11:59pm Points 100 Submitting a file upload DAX 6 Explained and Instructions Use the Labor file to answer a research question as we discussed in the DAX 6 video. "Does the organization discriminate by gender or height for position 1 and 2 employees?" In this exercise, students provide a business decision recommendation using SAS and Excel. The student will create a summary report of their analysis and create an informative graphic. Finally, the students will prepare and submit a business memorandum that provides a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. Attachments Business Memo Template 6-1.docx Your instructor will post a data set unique to your section. Deliverable Business Memorandum DAX6 (2) (3) https://troy.instructure.com/courses/51397/assignments/757878?module_item_id=2665580 1/2 10/27/2019 Data Analytics Exercise 6 Criteria Use of software tools Data Display Analysis Procedure Data Analysis Conclusion Recommended Actions Decision Approach Ratings Pts 10.0 pts Good 8.0 pts Fair 0.0 pts Inadequate 15.0 pts Good 12.0 pts Fair 0.0 pts Inadequate 15.0 pts 25.0 pts Good 20.0 pts Fair 0.0 pts Inadequate 25.0 pts 20.0 pts Good 16.0 pts Fair 0.0 pts Inadequate 20.0 pts 20.0 pts Good 16.0 pts Fair 0.0 pts Inadequate 20.0 pts 10.0 pts Good 8.0 pts Fair 0.0 pts Inadequate 10.0 pts 10.0 pts Total Points: 100.0 https://troy.instructure.com/courses/51397/assignments/757878?module_item_id=2665580 2/2 Current Date From: Your Name To: InstructorSalutation InstructorLastName (e.g. Dr. Sherman) Subj: Name of your issue analysis (edit this title) 1. Identify the issue. In this paragraph, summarize the analysis project. In other words, identify the issue under investigation so that the reviewer knows what this analysis is about. This could be a problem or an opportunity. 2. Explore the data/test assumptions. In this paragraph, briefly describe: a. where the data came from b. the steps you took to prepare the data for analysis c. if the assumptions of the model are met 3. Results. In this paragraph, in clear language, what did you find in your analysis. 4. Recommendation. In this paragraph, briefly discuss your recommendation. Location Position 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 $/H 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 21 28 14 11 11 11 10 13 11 12 15 10 14 11 14 13 12 11 15 22 13 14 11 12 13 11 11 13 10 11 11 14 10 13 11 11 14 29 28 14 14 12 15 12 10 11 On the Job Errors Performance Review Years of Employment Height 1 19 5 74 3 17 10 73 2 18 6 62 10 10 2 61 12 8 2 65 8 12 3 71 15 5 1 71 4 16 5 61 12 8 2 61 7 13 4 73 2 18 7 76 16 4 1 75 3 17 3 78 8 12 2 68 2 18 3 78 7 13 5 74 12 8 4 78 14 6 3 61 3 17 9 66 0 20 8 67 6 14 5 70 7 13 4 71 10 10 2 74 10 10 3 74 5 15 5 77 9 11 2 62 14 6 2 62 7 13 4 69 17 3 2 73 10 10 2 67 14 6 2 73 5 15 6 78 20 0 2 66 10 10 2 78 15 5 3 68 12 8 2 74 6 14 6 71 2 18 6 67 2 18 9 64 8 12 5 64 2 18 3 68 11 9 2 73 3 17 8 62 8 12 2 67 20 0 1 78 13 7 2 68 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 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making small edits on the paper

28Th October 28, 2019
From: StudentFirstName StudentLastName
To:

InstructorName

Subject: Independent Research Project Report (IRP): Investigating the Determinants of the Distance
Travelled by Sedan Cars in the City

IRP Summary:
While it is essential for the Taxi companies to determine estimate the profits, they make from owning
particular number of vehicles, it is equally important to understand the factors influencing the miles
covered by the vehicles as way of evaluating the how far their vehicles can move pertinent to their
characteristics. Findings from this paper indicate that MPG-Highway, length and Cylinders substantially
influence the miles covered by the vehicles in the city. In addition, weight, and Horsepower significantly
influence the miles for a vehicle but with minimal magnitude. However, these findings are based on
multiple linear regression analysis for quantitative variables without including effect of categorical
factors such as color, gender of the owners, and continent.

Issue Identification:
With...


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