Building and analyzing linear regression model in R

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In this Guided Project, you will:

Learn how to load and clean a real world dataset in R.

Learn how to build a linear regression model and various plots to analyze the model’s performance.

Learn how to predict future values using the model and calculate model error metrics.

Clock1.5 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project, you will learn how to build and analyse linear regression model in R, a free, open-source program that you can download. You will learn how to load and clean a real world dataset. Next, you will learn how to build a linear regression model and various plots to analyze the model’s performance. Lastly, you will learn how to predict future values using the model. By the end of this project, you will become confident in building a linear regression model on real world dataset and the know-how of assessing the model’s performance using R programming language. Linear regression models are useful in identifying critical relationships between predictors (or factors) and output variable. These relationships can impact a business in the future and can help business owners to make decisions. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Linear RegressionMachine LearningR ProgrammingRstudio

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load a real world dataset and summarize it in R

  2. Clean your dataset

  3. Split your dataset into training and test set

  4. Build linear regression model and interpret model summary statistics

  5. Plot and analyze model residuals

  6. Predict future values and calculate model error metrics

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.