Linear regression

For this part, you are able to test your skills and knowledge on linear regression. Below is a quiz with various question on the concepts and important knowledge linear regression such as preparations, simple linear regression, multiple linear regression, model diagnostics, and interaction analysis. After completing the quiz, the correct answers will appear. At the bottom of the page are links to the sections referred to in the quiz for more information and further review.

Test your skills

Linear regression

1 / 10

What is the primary purpose of conducting a linear regression analysis?

2 / 10

In a simple linear regression analysis, what does the “contrast” command allow you to test?

3 / 10

In linear regression analysis, the effect that x has on y is reflected by a B coefficient (B). When interpreting the coefficient of the independent variable (x), what does a coefficient of 0.75 mean?

4 / 10

If the R-squared value in a linear regression model is 0.75, what does this indicate?

5 / 10

What is the primary distinction between simple linear regression and multiple linear regression?

6 / 10

In multiple linear regression, what does a vif-value near 10 or higher suggest?

7 / 10

With the command linktest, we can assess whether our model is correctly specified. What is the expectation of the Link test?

8 / 10

In linear regression analysis, what does an interaction term represent?

9 / 10

We are doing a linear regression between age and income, with gender (0=Man, 1=Woman) as a moderator. The p-value for the interaction term is 0.01. What does this p-value suggest?

10 / 10

A significant p-value associated with an interaction term in linear regression analysis indicate that there is a statistically significant change in the relationship between two or more variables based on the moderator.

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The average score is 56%

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Review of the quiz

Q1 – See more on Linear regression
Q2 – See more on Simple linear regression
Q3 – See more on Linear regression in short
Q4 – See more on Linear regression in short
Q5 – See more on Multiple linear regression
Q6 – See more on Variance inflation factor and correlation matrix
Q7 – See more on Link test
Q8 – See more on Primary approaches to interaction analysis
Q9 – See more on Interaction analysis
Q10 – See more on Interaction analysis