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Multiple Linear Regression

Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.

The response and explanatory variables must be numerical or converted to numerical values. The line of best fit can be found. Along with the R Square, P-Value, Standard Error, Adjusted R-Square

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Lucas Krier, Stephen Franken, Taylor Norris, Tanner Purvis
BUSINESS ANALYTICS 2017
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