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 quantity (Q). In contrast, 'case Q -> C' suggests that a quantity (Q) is being examined to understand 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 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 to +1.

Front

What is a 'linear relationship'?

Back

A linear relationship is a type of relationship between two variables that can be graphically represented as a straight line, indicating a constant rate of change.

Front

Explain 'curvilinear relationship'.

Back

A curvilinear relationship is a type of relationship between two variables where the change in one variable does not result in a constant change in the other variable, often represented by a curve.

Front

What does 'weak linear' relationship imply?

Back

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

Front

What is the significance of 'case Q -> Q'?

Back

'Case Q -> Q' indicates a study where two quantities are being examined to see if there is a relationship between them, without considering any characteristics.

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.

Front

Define 'dependent variable'.

Back

A dependent variable is the variable that is measured or observed in an experiment, which is affected by changes in the independent variable.