This week, you will be preparing your "Speaking to Inform" speech and video. You also learned about "Delivery" and "Using Visual Aids". As you watch the following videos, look at how the speakers use visual aids and their voice to convey their message effectively and connect with the audience. You will also see note other techniques you learned throughout the semester about public speaking.After watching the videos, please comment/answer the following:1) What did you think of the speeches?2) What did you think of the manner in which the speakers delivery? their use of visual aids?3) What did you think of the content of the speeches?https://youtu.be/cef35Fk7YD8

Module 4 - CaseMULTIVARIATE ESTIMATION AND MODEL FITAssignment 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 performed a simple linear regression analysis in the Module 3 Case. Now, you are adding a layer of complexity to that analysis and including more independent variables in your model.Case AssignmentUsing Excel, generate regression estimates for the following model:Annual Amount Spent on Organic Food = α + b1Age + b2AnnualIncome+ b3Number of People in Household + b4GenderAfter 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 global test for statistical significance (the F-test).Your interpretation of the coefficient estimates for all the independent variables.Your interpretation of the statistical significance of the coefficient estimates for all the independent variables.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 +2x1 +1x2 +4x3 +0.9x4)An estimate of “Annual Amount Spent on Organic Food” for the average consumer. (Note: You will need to substitute the averages for all the independent variables into the regression equation for x, the intercept for α, and solve for y.)A discussion of whether or not the coefficient estimate on the Age variable in this estimation is different than it was in the simple linear regression model from Module 3 Case. Be sure to explain why it did/did not change.Data: Download the Excel-based data file: BUS520 Module 4 Case.Need help? Watch the following step-by-step video that works through this Case Assignment: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 through 3 Case submissions.Provide a brief comparison of simple linear regression and multiple linear regression.Provide a written analysis that addresses each of requirements listed under the “Case Assignment” section.Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size.Please use keywords as headings to organize the report.Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count.Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words.Upload both your written report and Excel file to the Case 4 Dropbox.

Benchmarking is a management accounting innovation (MAI) that can be used for performance measurement and management in both the private and the public sectors. Discuss how this relates an effective management operating system and how SOPs can be used to ensure performance measurements support operational excellence.