Predictive analysis

Determine business outcomes using predictive analysis techniques. Student Success Criteria View the grading rubric for this deliverable by selecting the This item is graded with a rubric link, which is located in the Details & Information pane. Scenario You are the manager for a company that sells outdoor grills. Youve recently earned your MBA, and you want to apply what youve learned to your position to help with decision-making. You have developed the following estimated regression equation to help make data-driven decisions for the store. This will help you to better see how the unemployment rate, temperature, number of activities, and gas prices impact weekly outdoor grill sales. Y = 22,100 - 412x1 + 818x2 - 93x3 - 71x4 Where: Y = weekly sales x1 = local unemployment rate x2 = weekly average high temperature x3 = number of activities in the local community x4 = average price of gasoline per gallon Instructions 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: Based on the equation above, please 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)? 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? Evaluate data mining techniques that could be used to enhance manager's decision-making to increase sales. What recommendations or decisions could you make based on the predictive analysis in question