Visualizing Regression Models in R

R is one of the best or simply the best statistical programming language in the world. This video lesson covers how to VISUALIZE REGRESSION MODELS (LMs and GLMs). You'll get to use some of R's most powerful packages for visualizing regression models results. Three packages were used: "performance", "sjPlot", and "effects" - real wonderful packages as such. THERE ARE GOING TO BE VERY POWERFUL PRESENTATIONS OF STATISTICAL INFERENCE IN R. THESE ARE THE TOPICS TO BE COVERED AND UPLOADED ON THE CHANNEL: 1. Statistical Inference with R - Concepts and Applications (COVERED) 2. Correlation Analysis (Pearson, Spearman's Rho, Kendall Tau, Point biserial, partial correlation, etc....) (COVERED) 3. Regression Analysis (Linear and Logistic Regression) (COVERED) 4. Comparing Two Means 5. Comparing Several Means (GLM1) 6. Analysis of Covariance (ANCOVA) (GLM2) and Factorial ANOVA (GLM3) 7. Repeated Measures Designs (GLM4) and Mixed Designs (GLM5) 8. Non-parametric Tests (Wilcoxon, Kruskal, Friedman's ANOVA, etc...) 9. Multivariate Analysis of Variance (MANOVA) 10. Exploratory Factor Analysis (PCA and Reliability Analysis) 11. Analyzing Categorical Data (Pearson Chi-Square, Fisher's Exact Test, etc...) 12. Multilevel Linear Models DO YOU WANT TO BE A MASTER STATISTICIAN AND HAVE THESE IMPLEMENTED RIGHT IN R? Then SUBSCRIBE TO THE CHANNEL FOR MORE OF THESE LESSONS!