Sign up for our weekly newsletter!
Department:
Course Number:
145
CCN:
75622
Instructor:
Lahiff
Units:
4
Description:
Regression models for continuous outcome data: least squares estimates and their properties, interpreting coefficients, prediction, comparing models, checking model assumptions, transformations, outliers, and influential points. Categorical explanatory variables: interaction and analysis of covariance, correlation and partial correlation. Appropriate graphical methods and statistical computing. Analysis of variance for one- and two-factor models: F tests, assumption checking, multiple comparisons. Random effects models and variance components. Introduction to repeated measures models.
Semester:
Spring 2013
Term (SP for Spring; FL for Fall):
SP