DLSEI 3.0 Cohort 3 registration has been closed.

Building and analyzing linear regression model in R

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

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Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

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.

What skills will you gain?

Statistical Analysis

Data Analysis

Statistical Modeling

Statistical Methods

Regression Analysis

Analytics

Statistics

R Programming

Statistical Programming