# Applied Regression Analysis

## ISYE-6010

Emphasis is on empirical model building and evaluation for both multiple linear and nonlinear regression models. Topics specifically addressed are simultaneous estimation, diagnostics and remedial measures, selection procedures, locally weighted least squares classification variables, binary response variables, time series data, nonlinear estimation, software packages.

3 credits
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2024 |  |  |
2023 |  |  |
2022 |  |  |
2021 | Applied Regression Analysis (3c) Stanley M. Dunn Seats Taken: 8/30 |  |
2020 | Applied Regression Analysis (3c) Stanley M. Dunn Seats Taken: 3/15 |  |
2019 |  |  |
2018 | Applied Regression Analysis (3c) Ruth Isabel Murrugarra Seats Taken: 10/15 |  |
2017 | Applied Regression Analysis (3c) Stanley M. Dunn Seats Taken: 29/35 |  |
2016 | Applied Regression Analysis (3c) Stanley M. Dunn Seats Taken: 5/15 |  |
2015 | Applied Regression Analysis (3c) Stanley M. Dunn Seats Taken: 17/15 |  |
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