# Analyzing Residuals: Process & Examples - Quiz & Worksheet

Instructions:

question 1 of 3

### Which of the following is NOT an assumption of linear regression?

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### 2. What does homoscedasticity imply?

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Use this quiz and worksheet to determine your level of knowledge about the process of analyzing residuals. Questions will ask you to pick the correct definitions for each term related to the process of analyzing residuals.

## Quiz & Worksheet Goals

You will need to be able to define or recognize:

• The assumptions of linear regression
• Linearity
• Homoscedasticity
• Normality
• Statistical independence

## Skills Practiced

• Reading comprehension - ensure that you draw the most important information from the related lesson on the process of analyzing residuals
• Defining key concepts - ensure that you can accurately define main phrases, such as normality and statistical independence
• Information recall - access the knowledge you've gained about assumptions of linear regression

The process of analyzing residuals is discussed in more depth in the lesson related to this quiz, entitled Analyzing Residuals: Process, Examples & Quiz. You can look forward to learning about:

• How the process of analyzing residuals can be used
• The four main assumptions of linear regression
• What happens when these assumptions are violated
Final Exam Statistics 101: Principles of Statistics
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Chapter Exam Regression & Correlation
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