REGRESSION AND TIME SERIES FOR ACTUARIES

Prerequisites & course information

Requisites: ( ACT SCI 640 , GEN BUS 656 , STAT 333 , or 340 ), or declared in undergraduate Business Exchange program Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Level - Advanced L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Complete hands-on tutorials and exercises using linear regression and time series models relevant for actuarial practice. Audience: Undergraduate 2. Utilize statistical software to estimate model parameters for regression models in business applications. Audience: Undergraduate 3. Explain the importance of checking model assumptions and conducting residual analyses in business applications. Audience: Undergraduate 4. Explain the impact of choices of explanatory variables and incorporate these variables in the model. Audience: Undergraduate 5. Integrate regression concepts to other actuarial science courses including loss models, actuarial mathematics, and use of simulation. Audience: Undergraduate Learning Outcomes: 1. Complete hands-on tutorials and exercises using linear regression and time series models relevant for actuarial practice. Audience: Undergraduate 2. Utilize statistical software to estimate model parameters for regression models in business applications. Audience: Undergraduate 3. Explain the importance of checking model assumptions and conducting residual analyses in business applications. Audience: Undergraduate 4. Explain the impact of choices of explanatory variables and incorporate these variables in the model. Audience: Undergraduate 5. Integrate regression concepts to other actuarial science courses including loss models, actuarial mathematics, and use of simulation. Audience: Undergraduate