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Building Statistical Models in R: Linear Regression
Coursera Project Network

Building Statistical Models in R: Linear Regression

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Learn, practice, and apply job-ready skills with expert guidance
4.7

(17 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.7

(17 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Build simple and multiple linear regression models

  • Perform model assessment and interpretation of results

  • Perform diagnostic checks to test for model assumptions

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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About this Guided Project

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. Getting Started

  2. Import packages & dataset

  3. Explore the dataset

  4. Data Visualization

  5. Model Building

  6. Model Assessment I

  7. Model Assessment II

  8. Model Prediction

  9. Assumptions Check: Diagnostic Plots

  10. Multiple Regression

Recommended experience

Basic knowledge of Statistics and R

9 project images

Instructor

Arimoro Olayinka Imisioluwa
Coursera Project Network
26 Courses47,422 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Learner reviews

4.7

17 reviews

  • 5 stars

    76.47%

  • 4 stars

    17.64%

  • 3 stars

    5.88%

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DA
5

Reviewed on Dec 22, 2022

PE
5

Reviewed on Jul 21, 2024

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