STA302H5 • Regression Analysis

Analysis of the multiple regression model by least squares; statistical properties of the least square analysis, including estimation of error; residual and regression sums of squares; distribution theory under normality of the observations; confidence regions and intervals; tests for normality; variance stabilizing transformations, multicolinearity, variable search methods.

Priority is given to students enrolled in Statistics Specialist or Major programs.
In Class
Statistics, Applied