Building and analyzing linear regression model in R
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.
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
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:
Load a real world dataset and summarize it in R
Clean your dataset
Split your dataset into training and test set
Build linear regression model and interpret model summary statistics
Plot and analyze model residuals
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
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