STA 510         Regression and Analysis of Variance (3)
A continuation and further development of statistical inference within the context of linear models.  Basic statistical concepts are reviewed briefly together with ordinary least squares.  Multiple regression analysis is developed with a design matrix approach with an emphasis on specification and assessment of model assumptions.  Analysis of Variance and Analysis of Covariance models are developed and studied.  A computational environment for simulation and data analysis is integrated throughout the course.  Prerequisites:  MAT 370 or equivalent.