Linear Regression
Linear Regression
Linear Regression
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OLS <strong>Regression</strong> Model<br />
In Ordinary Least-Squares (OLS) regression,<br />
the “best” model is defined as the line that<br />
minimizes the error between model and data<br />
(sum of squared differences).<br />
Conceptual description of regression line<br />
(General <strong>Linear</strong> Model):<br />
Y = b 0<br />
+ b 1<br />
X 1<br />
+ (B 2<br />
X 2<br />
… + B n<br />
X n<br />
) + ε<br />
Outcome Gradient<br />
Intercept<br />
Predictor<br />
Error<br />
CPSY501: multiple regression 2 Oct 2009<br />
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