Assignment: Predictive Analysis for Data-Driven Decisions
Scenario
You are the manager of a local retail store. To help make decisions within your organization, you recently completed your MBA with an emphasis in business analytics. You have developed the following estimated regression equation to help make data-driven decisions for the store.
Y = 22,100 - 412, x1 + 818, x2 - 93, x3 - 71x4
Where:
o Y = weekly sales
o x1 = local unemployment rate
o x2 = weekly average high temperature
o x3 = number of activities in the local community
o x4 = average price of gasoline per gallon
Task
Use the above equation and information to answer the following questions in a Word document, and create a guideline to use for future business decisions:
o Based on the equation above, provide the value for x1, x2, x3, and x4. Also, explain what these values mean in the context of this question. For example: What does the value of 818 mean in the equation above (specify if it is x1 or x2 or x3 or x4, and explain what those values mean based on the equation and context)?
o What are the estimated weekly sales if the unemployment rate is 3.7%, the average high temperature is 670, there are 10 activities, and the average price of gasoline is $3.39 per gallon?
o What recommendations or decisions could you make based on the predictive analysis in question 2?
Format your assignment according to the following formatting requirements:
o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.
o The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.