Quiz & Worksheet - The Process of Analyzing Residuals

question 1 of 3

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

Statistical independence Normality

Uniformity Linearity

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Worksheet

Print Analyzing Residuals: Process & Examples Worksheet

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?

Because the relationship between the dependent and independent variables is linear.
Because the relationship between the variables is independent.
Because the relationship between the variables is dependent.
Because the residuals are random in magnitude.

2. What does homoscedasticity imply?

All values of the dependent variable have a different variance around the regression line.
All values of the independent variable have the same variance around the regression line.
All values of the dependent variable have the same variance around the regression line.
All values of the independent variable have a different variance around the regression line.

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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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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?

About This Quiz & Worksheet

Quiz & Worksheet Goals

Skills Practiced

Additional Learning

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