Multiple linear regression, which extends simple linear regression to any
number of predictor variables, is covered in Section 1.6. General linear models and least squares estimator are presented using matrix algebra. Analysis
of variance, R2 (multiple correlation coefficient), and the extra sum of squares
principle are included.
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