BUS 660 Topic 4 Multiple Regression Models Case Study: Web Video on Demand
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BUS 660 Topic 4 Multiple Regression Models Case Study: Web Video
on Demand
Multiple Regression Models Case Study: Web Video on Demand
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” Exci 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 LopesWrite. Please
refer to the directions in the Student Success Center.
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