Create a simple 0, 1 integer model for a situation or problem you face in your life. Is there an optimal solution for your problem? What type of model would you use to create an optimal solution? Explain. Book used Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. L., Fry, M. J., & Ohlmann, J. W. (2016). Quantitative methods for business with CengageNOW (13th ed.). Boston, MA: Cengage Learning. ISBN-13: 9781305799257

SIMPLE LINEAR REGRESSIONAssignment OverviewYou are a consultant who works for the Diligent Consulting Group. In this Case, you are engaged on a consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the factors that impact organic food expenditures. You opt to do this using linear regression analysis.Case AssignmentUsing Excel, generate regression estimates for the following model:Annual Amount Spent on Organic Food = α + bAgeAfter you have reviewed the results from the estimation, write a report to your boss that interprets the results that you obtained. Please include the following in your report:The regression output you generated in Excel.Your interpretation of the coefficient of determination (r-squared).Your interpretation of the coefficient estimate for the Age variable.Your interpretation of the statistical significance of the coefficient estimate for the Age variable.The regression equation with estimates substituted into the equation. (Note: Once the estimates are substituted into the regression equation, it should take a form similar to this: y = 10 +2x)A discussion of how this equation in item 5 above can be used to estimate annual expenditures on organic food.An estimate of “Annual Amount Spent on Organic Food” for the average consumer. (Note: You will need to substitute the average age into the regression equation for x, the intercept for α, and solve for y.)Data: Download the Excel-based data file: BUS520 Module 3 Case.Assignment ExpectationsWritten ReportLength requirements: 3–4 pages minimum (not including Cover and Reference pages). NOTE: You must submit 3–4 pages of written discussion and analysis.Provide a brief introduction to/background of the problem, similar to the introduction/background you provided in Module 1 and 2 Case submissions.Provide a brief discussion of linear regression analysis, including the value of using this estimation technique.Provide a written analysis that addresses each of requirements listed under the “Case Assignment” section.