Learn the principles of Linear Regression! This course is intended for AI and Data Science professionals seeking a fundamental understanding of linear regression, r2, p-value, F statistic, homoscedasticity, and the process for determining outliers such as Cook's Distance. During the course, participants will learn the process for pre-processing data for a linear regression, common errors that arise during model calculation, and the best practices for interpreting findings. The course also includes a review of use cases that are particularly beneficial for linear regression, including the methodology for selecting independent variables. - Course is free for Silver, Gold and Elite Tier members - 60 minutes of learning - Participants must pass the assessment to earn a digital badge and certificate