STAT 504

Applied Regression
4.0 credits

Course Description

Least squares estimation. Hypothesis testing. Interpretation of regression coefficients. Categorical independent variables. Interactions. Assumption violations: outliers, residuals, robust regression; nonlinearity, transformations, ACE, CART; nonconstant variance. Variable selection and model averaging. Prerequisite: either STAT 342, STAT 390/MATH 390, STAT 421, STAT 481/ECON 481, STAT 509/CS&SS 509/ECON 580, or SOC 425. Offered: jointly with CS&SS 504.

Current Time Schedule

Winter, 2021

SLN/Section Time Location Instructor
20459 A
Open

M F 2:30PM - 3:20PM

M F 2:30PM - 3:20PM

* *

* *

Ema Perkovic

Ronak Mehta

STAT 504 WITHERED WITH STAT 423 OFFERED VIA REMOTE LEARNING

 

 

20460 B
Open

M F 2:30PM - 3:20PM

M F 2:30PM - 3:20PM

* *

* *

Ema Perkovic

Ronak Mehta

OFFERED VIA REMOTE LEARNING