STAT 139 - Introduction to Linear Models Learning Course

[STAT 139 - Introduction to Linear Models Learning Course] STAT 139 - Introduction to Linear Models STAT 139 introduces students to linear modeling techniques and applications. The course covers topics such as simple linear regression, multiple regression, analysis of variance (ANOVA), and linear mixed-effects models. Emphasis is placed on understanding the assumptions underlying linear models, conducting hypothesis tests, and interpreting regression coefficients. Through theoretical foundations and practical exercises, students learn how to apply linear models to analyze data, make predictions, and draw conclusions in various disciplines. STAT 139 prepares students for advanced coursework in statistical modeling, experimental design, and research applications in fields such as social sciences, environmental sciences, and business analytics.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.