Scatterplots

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 association in a scatterplot indicate?

Back

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

Front

What does a negative linear association in a scatterplot indicate?

Back

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

Front

What does 'no association' mean in the context of a scatterplot?

Back

'No association' means that there is no discernible relationship between the two variables; changes in one variable do not affect the other.

Front

What is a nonlinear association in a scatterplot?

Back

A nonlinear association occurs when the relationship between the two variables cannot be accurately represented by a straight line.

Front

How can you determine the strength of an association in a scatterplot?

Back

The strength of an association can be determined by how closely the data points cluster around a line; strong associations have points that are close to the line, while weak associations have points that are more spread out.

Front

What does a strong positive linear association look like on a scatterplot?

Back

A strong positive linear association appears as a tight cluster of points that rise steeply from left to right.

Front

What does a weak negative linear association look like on a scatterplot?

Back

A weak negative linear association appears as a scattered set of points that slightly trend downward from left to right.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually assess the relationship between two variables, helping to identify patterns, trends, and correlations.

Front

What is an example of a situation where a scatterplot would be useful?

Back

A scatterplot would be useful to analyze the relationship between study time and test scores among students.