Prerequisites: STAT 203 or 335.
This course discusses simple and multiple linear regression methods, multiple comparison estimation procedures, residual analysis, and other methods for studying the aptness of a proposed regression model; contemporary statistical software will be used extensively.
Outcomes: Students will obtain an extensive background in the applications of regression analysis and computer coding of regression models.
This course discusses simple and multiple linear regression methods, multiple comparison estimation procedures, residual analysis, and other methods for studying the aptness of a proposed regression model; contemporary statistical software will be used extensively.
Outcomes: Students will obtain an extensive background in the applications of regression analysis and computer coding of regression models.