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

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 does a weak linear relationship imply?

Back

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

Front

What is the significance of a strong linear relationship?

Back

A strong linear relationship indicates that changes in one variable are closely associated with changes in another variable, allowing for reliable predictions.

Front

Explain the term 'curvilinear relationship'.

Back

A curvilinear relationship occurs when the relationship between two variables is not a straight line, indicating that the effect of one variable on another changes at different levels.