Course Description

89-324 Applied Regression Analysis F(3-2)

Theory and applications of regression techniques; linear, non-linear and multiple regression and correlation; analysis of residuals; other statistical techniques including: response surfaces and covariance analysis, prediction and time-series analysis. The computer lab involves interactive data analysis and investigation of the methodology using SAS/S-PLUS statistical software.

Prerequisites: (63-121 or 66-121), (63-215 which may be taken concurrently or students may enroll with instructor permission), (89-205 or 89-210).

Course Profile

1998-99 Undergraduate Calendar