Mathematics 247 - STATS:REGRESSION ANALYSIS

Fall
2012
01
4.00
Benjamin Baumer

TTh 09:00-10:20

Smith College
19319-F12
SAB-RD 301
bbaumer@smith.edu
Theory and applications of regression techniques; linear and non linear 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 190/PSY 190, GOV 190, MTH 241, MTH 245, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination. Enrollment limited to 25.
Permission is required for interchange registration during the add/drop period only.