Question

# Review “Multiple Regression Models Case Study: Web Video on Demand” for this topic’s case study, predicting...

Review “Multiple Regression Models Case Study: Web Video on Demand” for this topic’s case study, predicting advertising sales for an Internet video-on-demand streaming service. After developing Regression Model A and Regression Model B, prepare a 250-500 word executive summary of your findings. Explain your approach and evaluate the outcomes of your regression models. Submit a copy of the Excel spreadsheet file you used to design your regression model and determine statistical significance. (Use Excel’s regression option to perform the regression). Use an Excel spreadsheet file for the calculations and explanations. Cells should contain the formulas (i.e., if a formula was used to calculate the entry in that cell). Use the “Multiple Regression Dataset” Excel resource to complete this assignment.

Here’s the Case Study

Multiple Regression Models Case Study: Web Video on Demand Web Video on Demand(WVOD) is an Internet video-on-demand streaming service. The company offers a subscription service for \$5.99/month, which incudes access to all programming and 30-second commercial intervals. In the last year, the company has recently begun producing its own programming, including 30-60-, and 120-minute television shows, specials, and films. Programming has been developed for teen audiences as well as adults. The following data represent the amount of money brought in through advertising sales, the average number of viewers, length of the program, and the average viewer age per program.

 Advertising Sales (\$) Average # of Viewers (millions) Length of Program (Minutes) Average Viewer Age (Years) 28,000 10.1 30 30 25,500 11.4 30 25 31,000 19.9 60 30 29,000 13.6 60 38 20,500 12.5 60 20 14,500 3.5 30 15 27,000 15.1 60 24 23,500 3.7 30 17 19,500 4.3 30 19 23,000 12.2 120 45 18,000 5.1 120 19 29,500 15.9 60 28 30,000 16.8 120 31 25,000 8.5 120 58 22,500 9.1 30 43

The WVOD executives are in the process of evaluating a partnership with several independent filmmakers to fund and distribute socially conscious and diverse programing. The executives have asked for regression models to be developed based on specific needs. The three regression model requests and programming details are included below. The WVOD executives would like to see a regression model that predicts the amount of advertising sales based on the number of viewers and the length of the program. Develop this regression model(“Regression Model A”). Web Video on Demand would like to acquire a 60-minute documentary special about social media and bullying. The special is aimed at teen viewers and is established to bring in 3.2 million viewers. Based on the regression model, predict the advertising sales that could be generated by the special. The WVOD executives would also like to see a regression model that predicts the amount of advertising sales based on the number of viewers, the length of the program, and the average viewer age. Develop this regression model (“Regression Model B”). Web Videos on Demand may acquire a 2-hour film that was a hit with critics and audiences at several international film festivals. Initial customer surveys indicate that the film could bring in 14.1 viewers and the average viewed age would be 32. Use this information to predict the advertising sales.

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