0 or 4 credits
Spring 2026 Recitation Lecture
This course has two primary goals: 1) provide students with foundational knowledge related to linear regression statistical analyses, and 2) provide students with the opportunity to practice writing, interpreting, and presenting regression analyses for the purposes of dissemination. Prerequisite: HDFS 61300 or PUBH 60100 or STAT 50100 or PSY 64600. Permission of instructor required.
Learning Outcomes1Understand the foundations of linear regression statistical analyses, including multiple regression.
2Understand mediation and moderation hypotheses and associated testing in linear regression.
3Derive research questions and hypotheses testable in linear regression.
4Analyze data using linear regression modeling and statistical software.
5Properly interpret the statistical estimates and tests covered in the course.
6Apply regression modeling to your research questions using empirical data.
7Produce written communication of analytic methods and interpretation of results.
Restrictions
made by Purdue students.