Statistical and Data Sciences 291 - Multiple Regression

Multiple Regression

Kaitlyn Cook

TU TH 9:25 AM - 10:40 AM

Smith College
Seelye 110
(Formerly MTH 291/ SDS 291). Theory and applications of regression techniques; linear and nonlinear multiple regression models, residual and influence analysis, correlation, covariance analysis, indicator variables and time series analysis. This course includes methods for choosing, fitting, evaluating and comparing statistical models and analyzes data sets taken from the natural, physical and social sciences. Prerequisite: one of the following: SDS 201, PSY 201, GOV 203, SDS 220, ECO 220 or equivalent or a score of 4 or 5 on the AP Statistics examination. Corequisite: SDS 100 required for students who have not completed SDS 192, 201, 220 or 290. Enrollment limited to 38.

[CE] (SDS 192, 201, 220, 290, 291) or SDS 100 (concurrent only)

Permission is required for interchange registration during the add/drop period only.