Module 2 -1 Practice Questions

Front

What does a correlation coefficient of .957 indicate?

Back

A strong positive relationship between the independent and dependent variables, meaning as the independent variable increases, the dependent variable also increases.

Front

What type of study is it when determining if a characteristic (like handedness) affects an outcome (like lifespan)?

Back

This is an example of a case C -> Q study, where a characteristic (C) is examined for its effect on a quantitative outcome (Q).

Front

How can a strong curvilinear relationship be described?

Back

A strong curvilinear relationship indicates that the relationship between two variables is not linear but follows a curve, showing that as one variable increases, the other variable may increase or decrease at different rates.

Front

Define correlation coefficient.

Back

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 0 indicate?

Back

No relationship between the independent and dependent variables.

Front

What is the difference between case C -> C and case C -> Q studies?

Back

Case C -> C studies examine the relationship between two characteristics, while case C -> Q studies examine the effect of a characteristic on a quantitative outcome.

Front

What is a linear relationship?

Back

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

Front

What is a curvilinear relationship?

Back

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

Front

What does a weak linear relationship look like?

Back

A weak linear relationship indicates that there is a slight correlation between the variables, but the data points are widely scattered around the line of best fit.

Front

What is the significance of a strong linear relationship?

Back

A strong linear relationship indicates that the data points closely follow a straight line, suggesting a strong correlation between the variables.