Module 2 -1 Practice Questions

Front

What does a strong curvilinear relationship indicate?

Back

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

Front

What is a correlation coefficient?

Back

A correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 to 1.

Front

What does a correlation coefficient of .957 indicate?

Back

A correlation coefficient of .957 indicates a very strong positive relationship, meaning as the independent variable increases, the dependent variable also increases.

Front

What is the difference between independent and dependent variables?

Back

The independent variable is the one that is manipulated or changed, while the dependent variable is the one that is measured or observed.

Front

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

Back

'Case C -> Q' signifies that a characteristic (C) is being studied to determine its effect on a quantitative outcome (Q).

Front

What is a linear relationship?

Back

A linear relationship is a relationship between two variables that can be graphically represented as a straight line.

Front

What is a curvilinear relationship?

Back

A curvilinear relationship is a relationship between two variables that is not linear and can be represented by a curve.

Front

What does a weak linear relationship indicate?

Back

A weak linear relationship indicates that there is a slight correlation between the two variables, but it is not strong enough to predict one variable based on the other.

Front

What is the purpose of correlation in research?

Back

The purpose of correlation in research is to determine the strength and direction of the relationship between two variables.

Front

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

Back

'Case Q -> C' signifies that a quantitative outcome (Q) is being studied to determine its effect on a characteristic (C).