Correlation and Regression Quiz
Test your understanding of correlation and regression concepts with this quiz.
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First Name
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example@example.com
1. Which of the following best describes correlation?
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A measure of the strength and direction of a linear relationship between two variables
A method to predict one variable from another
A process of finding the mean of a dataset
None of the above
2. What is the range of values for the Pearson correlation coefficient?
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0 to 1
-1 to 1
-1 to 0
0 to 100
3. Which of the following statements about regression is TRUE?
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Regression quantifies the relationship between two variables by fitting a line
Regression can only be used for categorical variables
Regression is not related to prediction
Regression always results in a perfect fit
4. Match the following terms with their correct descriptions.
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Rows
Term
Description
Correlation
A measure of linear association
A line that best fits the data
The variable being predicted
The variable used for prediction
Regression Line
A measure of linear association
A line that best fits the data
The variable being predicted
The variable used for prediction
Dependent Variable
A measure of linear association
A line that best fits the data
The variable being predicted
The variable used for prediction
Independent Variable
A measure of linear association
A line that best fits the data
The variable being predicted
The variable used for prediction
5. The scatter plot below shows a strong positive linear relationship. What is the likely value of the correlation coefficient?
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Close to 0
Close to -1
Close to 1
Cannot be determined
6. Which of the following are assumptions of linear regression? (Select all that apply)
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Linearity
Normality of errors
Homoscedasticity
Multicollinearity
None of the above
7. Interpret the following scenario: The correlation between hours studied and exam score is 0.85. What does this mean?
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8. On a scale of 1 to 5, how confident are you in interpreting regression output tables?
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Not confident
1
2
3
4
Very confident
5
1 is Not confident, 5 is Very confident
9. Calculate the predicted value of Y if the regression equation is Y = 2X + 3 and X = 4.
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10. In your own words, explain the difference between correlation and causation.
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