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Regression Analysis

California Foreclosures vs. Housing Costs
Regression Analysis is defined as another technique for measuring the linear association between x (independent variable) and y (dependent variable) and shown as (Y= a +b1X1 +b2X2+b3X3...+bnXn) which is used extensively in forecasting. For Team B's research, we are going to run a regression analysis on foreclosures versus housing costs in the state of California. In regression, the independent variables are hypothesized to affect the dependent variable in an additive and linear way. An F-test can be used in regression, which is a procedure to determine whether there is more variability explained by the regression or unexplained by the regression.......


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Approximate Word Count: 1142
Approximate Pages: 5 (250 words per double-spaced page)

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