ACS 3410 - Linear Regression and Time Series

3 lecture hours 0 lab hours 3 credits

Course Description
This course explores the fundamentals of linear regression and the time series model. This course will introduce the theory and practice of analyzing regression and time series models, emphasizing practical skills. In particular, these skills will include providing compact descriptions of data, interpreting regression and time-series models, forecasting future values based on data, and simulation using regression and time series models. Students may receive credit for only one of MTH 3410 or ACS 3410. (prereq: MTH 2340, MTH 2410 or Actuarial Science program director consent) (quarter system prereq: MA 2830 (or MA 383) and MA 2410 or Actuarial Science program director consent)

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Explain the basic theory of linear regression and time-series analysis
Identify, define, and formulate forecasting problems and use statistical software R for the analysis of linear regression and time series
Interpret analysis results and make recommendations for the choice of models
Present analysis results

Prerequisites by Topic

Calculus
Matrix algebra
Probability theory and application
Statistics

Course Topics

Simple linear regression
Multiple linear regression
Model selection
Residual analysis
Time series regression

Coordinator
Dr. Won Chul Song

Announcement

The Raider Return

Milwaukee School of Engineering

Connect With MSOE

ACS 3410 - Linear Regression and Time Series