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

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, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center

bus_660_rs_t4multipleregressionmodelscasestudywebvideoondemand

……………………Answer preview…………………….

The response variable for regression model A is the amount of advertising sales while the predictor variables are the number of viewers and the length of the program. From the excel analysis, the regression model A will be:……………………….

APA

469 words

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