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.