STA 473/573 Applied Multiple Regression (1)

Service course. Linear regression model and assumptions, statistical inferences associated with regression, multiple correlation, curvilinear regression, selection of ‘best’ regression function, regression approach to single-factor analysis of variance. Extensive use of computer library programs. Offered in five-week sprint mode.

Prerequisite: previous course in statistics.

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