Скачать с ютуб Method Map Series - 📊 What Drives Student Success? Build a Predictive Model Using Linear Regression в хорошем качестве

Method Map Series - 📊 What Drives Student Success? Build a Predictive Model Using Linear Regression

Can we predict a student’s GPA based on their background, academic habits, and preparation? In this video, we walk through a Linear Regression model that uses multiple predictors—like ACT scores, SI attendance, tutoring usage, and living situation—to predict first-year GPA. You’ll learn: How to build and interpret a multiple linear regression model What variables are significant predictors of GPA How to assess model fit and performance How to check key assumptions like linearity, homoscedasticity, normality, and multicollinearity How to read coefficients and understand the impact of each predictor This video is part of the “A Dozen Methods, One Dataset” series—a complete journey through statistical methods using one rich college dataset. 📊 See how this connects to the Method Map of statistical models 📥 Download the dataset to follow along 🔔 Subscribe for more step-by-step guides across regression, ANOVA, chi-square, and beyond