Case study
Wal-Mart is the second largest retailer in the world. The data file (WalMart_revenue.xlsx) is included in the Excel data zip file in week one, and it holds monthly data on Wal-Mart’s revenue, along with several possibly related economic variables.
- Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only independent variable.
- Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable.
- Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable.
- Which of these three models is the best? Use R-square value, Significance F values and other appropriate criteria to explain your answer
Identify and remove the four cases corresponding to December revenue.
- Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only independent variable.
- Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable.
- Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable.
- Which of these three models is the best? Use R-square values and Significance F values to explain your answer.
- Comparing the results of parts (d) and (h), which of these two models is better? Use R-square values, Significance F values and other appropriate criteria to explain your answer.
Please use one Excel file to complete this problem, and use one sheet for one sub-problem. Use a Microsoft Word document to answer questions.
"You need a similar assignment done from scratch? Our qualified writers will help you with a guaranteed AI-free & plagiarism-free A+ quality paper, Confidentiality, Timely delivery & Livechat/phone Support.
Discount Code: CIPD30
Click ORDER NOW..
