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Model Diagnostics and Remedial Measures
Model Diagnostics and Remedial Measures
Taught in English
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.
Skills you'll gain
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
Offered by
Recommended if you're interested in Probability and Statistics
Illinois Tech
Illinois Tech
Illinois Tech
Illinois Tech
Get a head start on your degree
This course is part of the following degree programs offered by Illinois Tech. If you are admitted and enroll, your coursework can count toward your degree learning and your progress can transfer with you.
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Frequently asked questions
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