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Analyzing Residuals: Process & Examples

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

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

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1. A scientist is graphing data points from an experiment, and concludes that the data set is linear. Why did they likely draw this conclusion?

2. What does homoscedasticity imply?

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About This Quiz & Worksheet

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

This quiz will also help you strengthen the following skills:

  • 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

Additional Learning

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
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