Course · Intermediate
Linear Regression Modeling in R
In this course, you'll learn the basics of the linear regression model and how to use linear regression for predictions and inferences using R.
- Intermediate friendly
- 2 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Apply linear regression in R to build, interpret, and evaluate predictive models, understanding when linear assumptions hold and fail.
What's inside
5 lessons · 1 project
- 01 33 minIntroduction to Modeling
Learn the fundamental concepts behind modeling with R
- 02 37 minBivariate Relationships - Correlation and Scatterplots
Learn about correlation and using scatterplots to understand bivariate relationships for linear regression with R.
- 03 33 minEstimating the Coefficients and Fitting Linear Models
Learn about estimating coefficients and fitting a linear regression model with R.
- 04 26 minAssessing the Accuracy of the Model
Learn about assessing the accuracy of a linear regression model with R
- 05 28 minFitting Many Linear Models
Learn about fitting and visualizing many linear regression models with R
- 06 3 minGuided Project: Predicting Condominium Sale Prices Project
For this project, you'll assume the role of a data analyst to predict condominium sale prices in New York City boroughs based on property size, using linear regression modeling in R.
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