Five College Consortium

MULTIPLE REGRESSION

Semester: 
Fall
Year: 
2018
Subject Name: 
Mathematics
Course Number: 
291
Institution: 
Smith College
Same as 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: PSY 201, GOV 190, MTH 220, ECO 220, or the equivalent or a score of 4 or 5 on the AP Statistics examination. Enrollment limited to 25.
Instructor Permission: 
Permission is required for interchange registration during the add/drop period only.
Crosslisted Section ID: 
10573
http://www.smith.edu/catalog/
Schedule #: 
10572-F18

Course Sections

MULTIPLE REGRESSION
Sect # Credits Instructor(s) Instructor Email Meeting Times Location
01 4.0 Lu Lu llu@smith.edu TTh 10:30-11:50 SAB-RD 301