Module 2 Practice Questions

Front

What does a correlation coefficient (r) of 0.79 indicate?

Back

A pretty strong positive linear relationship between the two variables.

Front

What is a lurking variable?

Back

A variable that is not included in the analysis but affects the relationship between the variables being studied.

Front

What does a correlation coefficient (r) of -0.575 indicate?

Back

A moderate negative linear relationship between the two variables.

Front

What does 'case C -> C' signify in research studies?

Back

It indicates a study examining the relationship between two categorical variables.

Front

What does 'case Q -> Q' signify in research studies?

Back

It indicates a study examining the relationship between two quantitative variables.

Front

What is the difference between strong linear and weak linear relationships?

Back

Strong linear relationships have data points closely clustered around a straight line, while weak linear relationships have data points more spread out.

Front

What is a curvilinear relationship?

Back

A relationship between two variables that is not linear, meaning the data points do not form a straight line.

Front

What is the significance of a strong curvilinear relationship?

Back

It indicates that as one variable increases, the other variable changes in a non-linear manner, often following a curve.

Front

How can monetary incentives affect survey completion rates?

Back

Higher monetary incentives generally lead to higher completion rates, indicating a strong curvilinear relationship.

Front

What is the purpose of using correlation in research?

Back

To determine the strength and direction of the relationship between two variables.