Wal-Mart Revenue: Case Study One

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-Marts 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. Finally, upload the files to the submission link for grading.