STA302H5 • Regression Analysis

Description

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.

Prerequisites
Exclusions
Enrolment Limits
Priority is given to students enrolled in Statistics Specialist or Major programs.
Distribution Requirement
Science
Total Instructional Hours
36L/12T
Mode of Delivery
In Class
Program Area
Statistics, Applied