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Thursday, April 4, 2013

Regression Analysis Paper ( the excel spreadsheet is not included)

Regression Analysis Paper

Introduction

This paper, will detail a research problem, build a turn about analysis, interpret the results, state the limits of the results, and describe the moment of this analysis to the organization.

Describe selected research problem

Bio silk is a spa that services the Houston area. The Bio silk watering place features quality products made by Farouk Systems, Inc. They advertise extensively on radio and Television emphasizing high-end quality services. The owner would same(p) to review the relationship between sales and the amount fatigued advertising on Fox News.

Perform regression analysis

The dependent inconsistent is the value of the advertising of Fox News. The gross fatigued for advertising, and the revenue gained are the independent variables. The regression analysis fulfilled by squad STAT 5 will determine the correlation between the come in of advertising dollars spent and the revenue gain.

For an analysis such as this one of Advertising Value, we have a selective information institutionalise containing the values of the dependent and independent variables for a set of observations. In this example each month record of expenses was compared to the revenue gain. The more than observations we have, the more accurately we can estimate the parameters.

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Variables: Value, advertising dollars spent monthly, revenue taken in monthly

Parameter: Money spent, Money The regression analysis performed used a twelve-month revenue statement to perform this regression analysis shown below.

Interpret the results

The coefficient of 0.928814 and 0.921695 have equal strength, both level very strong correlation between the variables.

Here is a plot of a namear function fitted to a set of data values. The actual data points are marked with blue dots. The pink line represents the predicted revenue.

For this scatter diagram, there is very little scatter about the line. This indicates there is a very strong relationship between revenue and...

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