Scatterplots Vocab

Front

What is a scatterplot?

Back

A scatterplot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

Front

What does a positive linear relationship in a scatterplot indicate?

Back

A positive linear relationship indicates that as one variable increases, the other variable also tends to increase.

Front

What does a negative linear relationship in a scatterplot indicate?

Back

A negative linear relationship indicates that as one variable increases, the other variable tends to decrease.

Front

What is a nonlinear relationship in a scatterplot?

Back

A nonlinear relationship occurs when the data points do not form a straight line, indicating that the relationship between the variables is not constant.

Front

What does 'no association' mean in the context of scatterplots?

Back

'No association' means that there is no discernible relationship between the two variables, and the data points are scattered randomly.

Front

What is a strong positive association in a scatterplot?

Back

A strong positive association means that the data points are closely clustered around a straight line that slopes upwards.

Front

What is a weak negative association in a scatterplot?

Back

A weak negative association means that the data points show a slight downward trend but are more spread out and less clustered.

Front

How can you identify a nonlinear relationship in a scatterplot?

Back

A nonlinear relationship can be identified by observing that the data points do not follow a straight line and may curve or cluster in a different pattern.

Front

What is the significance of the correlation coefficient in scatterplots?

Back

The correlation coefficient quantifies the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does it mean if a scatterplot has a correlation coefficient close to 0?

Back

A correlation coefficient close to 0 indicates a weak or no linear relationship between the variables.