Scatterplots Association Flashcard

Front

What is a scatterplot?

Back

A scatterplot is a graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

Front

What does a positive linear association look like in a scatterplot?

Back

In a positive linear association, as one variable increases, the other variable also increases, resulting in a pattern that slopes upwards from left to right.

Front

What does a negative linear association look like in a scatterplot?

Back

In a negative linear association, as one variable increases, the other variable decreases, resulting in a pattern that slopes downwards from left to right.

Front

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

Back

'No association' means that there is no discernible pattern or relationship between the two variables being plotted.

Front

What is a non-linear association?

Back

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

Front

How can you identify a positive linear association in a scatterplot?

Back

You can identify a positive linear association by observing that the points tend to cluster around a line that slopes upwards.

Front

How can you identify a negative linear association in a scatterplot?

Back

You can identify a negative linear association by observing that the points tend to cluster around a line that slopes downwards.

Front

What is the correlation coefficient?

Back

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

Front

What does a correlation coefficient of 0 indicate?

Back

A correlation coefficient of 0 indicates no linear relationship between the two variables.

Front

What is the purpose of using scatterplots?

Back

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