Regression Analysis

Regression Analysis - Regression analysis Figure B Figure A...

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Figure A Figure B Regression analysis 1 Regression Analysis MGT342 – Mark Talbott University of Phoenix – North Florida Thursday September 2, 2010
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Regression analysis 2 Regression Analysis Team A has decided to perform a linear regression analysis, an equation that expresses the linear relationship between two variables, to determine if home prices are based on distance (Doane & Seward, 2007). The calculations and tests are based on the real estate data table provided by Lind, Marchal, & Wathen, (2008). The overall opinion of the group is that the distance to the city center determines the price of the home. h : Distance determines price h : Distance does not determine price For any regression analysis there must be two variables, a dependent (price) and an independent (distance). In order to measure the strength and direction of correlation, one would use a regression equation (Doane, 2007). According to the least squares principle, the equation for this is Y’ = a + bX. Where Y’ is the predicted Y value, a is the y-intercept, and b is the slope of the line. Team A will be using the data in figure A for their research:
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This note was uploaded on 03/15/2011 for the course RES 342 taught by Professor Carey during the Spring '08 term at University of Phoenix.

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Regression Analysis - Regression analysis Figure B Figure A...

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