Module 2 -1 Practice Questions

Front

What does 'strong curvilinear' relationship mean?

Back

A strong curvilinear relationship indicates that as one variable increases, the other variable changes in a non-linear manner, often following a curve. This suggests a significant association between the two variables, but not in a straight line.

Front

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

Back

'Case C -> Q' indicates that a characteristic (C) is being studied to see its effect on a quantitative outcome (Q). In contrast, 'case Q -> C' suggests that a quantitative outcome (Q) is being analyzed to determine its influence on a characteristic (C).

Front

What does a correlation coefficient of .957 indicate?

Back

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

Front

Define 'correlation coefficient'.

Back

The correlation coefficient is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation).

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, indicating that changes in one variable result in proportional changes in the other.

Front

What does 'curvilinear relationship' mean?

Back

A curvilinear relationship is a type of relationship between two variables where the association is not constant and can be represented by a curve, indicating that the rate of change varies at different levels of the variables.

Front

Explain 'case Q -> Q'.

Back

'Case Q -> Q' refers to a study design where two quantitative outcomes (Q) are analyzed to determine if there is a relationship between them, without considering any characteristics.

Front

What is the significance of a 'weak linear' relationship?

Back

A weak linear relationship indicates that there is a slight association between two variables, but the relationship is not strong enough to make reliable predictions.

Front

What does 'case C -> C' imply?

Back

'Case C -> C' implies a study design where two characteristics (C) are analyzed to see if there is a relationship between them, without considering any quantitative outcomes.

Front

Define 'independent variable'.

Back

An independent variable is a variable that is manipulated or changed in an experiment to observe its effect on a dependent variable.