Mathematics 291 - MULTIPLE REGRESSION
Spring
2014
01
4.00
Katherine Halvorsen
MWF 08:30-09:50
Smith College
40560-S14
SAB-RD 301
khalvors@smith.edu
Formerly MTH 247
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: MTH 201/PSY 201, GOV 190, MTH 219, MTH 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination. Enrollment limited to 25.
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: MTH 201/PSY 201, GOV 190, MTH 219, MTH 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination. Enrollment limited to 25.