Illinois Tech
Model Diagnostics and Remedial Measures
Illinois Tech

Model Diagnostics and Remedial Measures

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Kiah Ong

Instructor: Kiah Ong

Intermediate level

Recommended experience

19 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Describe the assumptions of the linear regression models.

  • Use diagnostic plots to detect violations of the assumptions of a linear regression model.

  • Perform variable selections and model validations.

Details to know

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Assessments

8 quizzes, 3 assignments

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There are 3 modules in this course

Welcome to Model Diagnostics and Remediation Measures! In this course, we will cover the topics of: Regression Diagnostics, Variance Stabilizing Transformations, Box-Cox Transformation, Transformations to Linearized the Model, Weighted Least Squares, Autocorrelation, Multicollinearity, Variable Selection and Model Validation. In Module 1, we will cover four topics including: Regression Diagnostics, Variance Stabilizing Transformations, Box-Cox Transformation and Transformations to Linearize the model. There is a lot to read, watch, and consume in this module so, let’s get started!

What's included

9 videos6 readings4 quizzes1 assignment1 discussion prompt

Welcome to Module 2 – This module will cover four topics including: Weighted Least Squares, Autocorrelation, Multicollinearity, and Variable Selection and Model Validation. There is a lot to read, watch, and consume in this module so, let’s get started!

What's included

12 videos5 readings4 quizzes1 assignment

What's included

1 assignment

Instructor

Kiah Ong
Illinois Tech
3 Courses911 learners

Offered by

Illinois Tech

Recommended if you're interested in Probability and Statistics

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