# 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

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## How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory