About Linear Regression and Modeling-Course Overview
Introduction to Statistics with R
()
About Statistics with R Specialization
More about Linear Regression and Modeling
Linear Regression-Relationship between two numerical variables
Lesson Learning Objectives
Introduction
()
Correlation
()
Residuals
()
Least Squares Line
()
Linear Regression-Linear regression with one predictor
Lesson Learning Objectives
Prediction and Extrapolation
()
Conditions for Linear Regression
()
R Squared
()
Regression with Categorical Explanatory Variables
()
Linear Regression-Strengthen Your Understanding
Week 1 Suggested Readings and Practice
More about Linear Regression-Outliers & Inference for regression
Lesson Learning Objectives
Outliers in Regression
()
Inference for Linear Regression
()
Variability Partitioning
()
More about Linear Regression-Strengthen Your Understanding
Week 2 Suggested Readings and Exercises
More about Linear Regression-Learning R
About Lab Choices
Week 1 & 2 Lab Instructions (RStudio)
Week 1 & 2 Lab Instructions (RStudio Cloud)
Multiple Regression-Regression with multiple predictors
Introduction
()
Lesson Learning Objectives
Multiple Predictors
()
Adjusted R Squared
()
Collinearity and Parsimony
()
Multiple Regression-Inference for multiple regression and model selection
Lesson Learning Objectives
Inference for MLR
()
Model Selection
()
Diagnostics for MLR
()
Multiple Regression-Strengthen Your Understanding
Week 3 Suggested Readings and Exercises
Multiple Regression-Learning R
Week 3 Lab Instructions (RStudio)
Week 3 Lab Instructions (RStudio Cloud)
Multiple Regression-Data Analysis Project
Project Instructions, Data files, and Checklist