QM 203 Course ProjectA Brief Summary After the completion of Chapter 11 (Regression Analysis - Statistical Inference) you are ready to embark on your project. Project is 20% of the course grade. After the completion of the project, you will feel more comfortable with the Regression component of the course. Hopefully, some day you will apply the material learned to solve a business problem at your company. Use the case data (DUPREE.XLS) provided by your text to analyze and find out whether a statistically reliable oil consumption model can be estimated from the data. Project should be uploaded to BB the same way as HW. Do not email your project. Some Additional Project Guidelines: About 10 to 15 quality pages in Word format. No verbosity, please. Using the materials used in this course and beyond propose the best model. Using the automated variable selection procedures find the best model. Compare the above two models and propose your best possible model. Provide a summary of different models used and justify the best model. Define the parameters of the proposed model. Demonstrate the use of the model through examples. Would you recommend any explanatory variables to be omitted. Would you recommend any other explanatory variables that could be added to the model? For more information please refer to: “Course Documents” Link “Multiple Regression – Statistical Inference (Ch 11)” Link “8. Statistical Reporting – TERM PROJECT” Link Document Preview: 1 381 888 3 3 2 171 176 5 7 3 644 1073 5 4 4 19 126 2 4 5 394 645 5 5 6 153 326 4 6 7 7 1229 1 3 8 319 1218 2 4 9 40 570 2 1 10 121 334 1 7 11 243 738 3 3 12 200 1464 1 5 13 402 880 4 5 14 118 1134 1 5 15 319 1019 3 4 16 185 460 2 3 17 209 257 5 4 18 467 779 5 4 19 50 128 2 4 20 153 371 2 5 21 94 178 3 6 22 574 933 5 3 23 191 295 3 5 24 679 1358 4 5 25 305 626 4 5 26 85 237 2 7 27 87 813 1 6 28 170 385 3 5 29 92 678 1 4 30 35 54 2 3 31 60 314 1 5 32 507 898 4 3 33 148 966 1 6 34 83 84 5 3 35 318 919 3 4 36 85 379 1 4 37 245 512 3 4 38 56 355 2 3 39 303 759 3 3 40 10 777 1 4 Customer Oil Usage Degree Days Home Index Number People This is fictitious data.

QM 203 Course Project A Brief Summary After the completion of Chapter 11 (Regression Analysis - Statistical Inference) you are ready to embark on your project. Project is 20% of the course grade....

QM 203 Course Project

A Brief Summary

After the completion of Chapter 11 (Regression Analysis - Statistical Inference) you are ready to embark on your project. Project is 20% of the course grade.

After the completion of the project, you will feel more comfortable with the Regression component of the course. Hopefully, some day you will apply the material learned to solve a business problem at your company.

Use the case data (DUPREE.XLS) provided by your text to analyze and find out whether a statistically reliable oil consumption model can be estimated from the data.

Project should be uploaded to BB the same way as HW.
Do not email your project.

Some Additional Project Guidelines:
- About 10 to 15 quality pages in
  Word format. No verbosity, please.
- Using the materials used in this course and beyond propose the best model.
- Using the automated variable selection procedures find the best model.
- Compare the above two models and propose your best possible model.
- Provide a summary of different models used and justify the best model.
- Define the parameters of the proposed model.
- Demonstrate the use of the model through examples.
- Would you recommend any explanatory variables to be omitted.
- Would you recommend any other explanatory variables that could be added to the model?

For more information please refer to:
- “Course Documents” Link
  - “Multiple Regression – Statistical Inference (Ch 11)” Link
    - “8. Statistical Reporting – TERM PROJECT” Link

Document Preview:

1 381 888 3 3 2 171 176 5 7 3 644 1073 5 4 4 19 126 2 4 5 394 645 5 5 6 153 326 4 6 7 7 1229 1 3 8 319 1218 2 4 9 40 570 2 1 10 121 334 1 7 11 243 738 3 3 12 200 1464 1 5 13 402 880 4 5 14 118 1134 1 5 15 319 1019 3 4 16 185 460 2 3 17 209 257 5 4 18 467 779 5 4 19 50 128 2 4 20 153 371 2 5 21 94 178 3 6 22 574 933 5 3 23 191 295 3 5 24 679 1358 4 5 25 305 626 4 5 26 85 237 2 7 27 87 813 1 6 28 170 385 3 5 29 92 678 1 4 30 35 54 2 3 31 60 314 1 5 32 507 898 4 3 33 148 966 1 6 34 83 84 5 3 35 318 919 3 4 36 85 379 1 4 37 245 512 3 4 38 56 355 2 3 39 303 759 3 3 40 10 777 1 4 Customer Oil Usage Degree Days Home Index Number People This is fictitious data.

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May 15, 2022

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QM 203 Course Project A Brief Summary After the completion of Chapter 11 (Regression Analysis - Statistical Inference) you are ready to embark on your project. Project is 20% of the course grade....

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