Quantitative Methods

Details:

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 to determine statistical significance.

Note: Students should 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). Students are highly encouraged to use the “Multiple Regression Dataset” Excel resource to complete this assignment.

Mac users can use StatPlus:mac LE, free of charge, from AnalystSoft.

Prepare the written portion of this assignment according to the guidelines found in the APA Style Guide,

PLEASE SEE ATTACHED CASE STUDY. PLEASE ENSURE YOU PAY KEEN ATTENTION TO DETAILS AND QUESTION ASK. THANKS FOR YOUR ASSISTANCE.

preview of the answer…

With multiple regressions, one is in a position to note the effect of the variables and estimate the dependent variable that comes about from the changes made to the independent variables. In the regression model A, the R square is 71%. The R squared is used to show how well the data is close to each other in the line of regression. With a percentage of 71% it shows that the data fits the model and the variation between sales, average number of number of viewers and the length of program is..

APA 209 words