Linear Regression In R
Learn about the difference between simple linear regression and multiple linear regression.
Start
Key Concepts
Review core concepts you need to learn to master this subject
The Steps of Statistical Model Building
Linear Model Assumptions: Linearity
Linear Model Assumptions: Outliers
Creating A Linear Regression Model In R
Assessing Fit Of A Linear Regression Model: RSE
Assessing Fit Of A Linear Regression Model: R Squared
Residuals
LOESS Smoother
The Steps of Statistical Model Building
The Steps of Statistical Model Building
The four primary steps of statistical model building are:
- Confirming data assumptions
- Building a model on training data
- Assessing the model’s fit
- Analyzing model results.
Linear Regression in R
Lesson 1 of 1
What you'll create
Portfolio projects that showcase your new skills
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
Linear Regression In R
Start