Scatterplots Flashcard Review

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 trend in a scatterplot indicate?

Back

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

Front

What does a negative trend in a scatterplot indicate?

Back

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

Front

What is the line of best fit?

Back

The line of best fit is a straight line that best represents the data on a scatterplot, showing the overall direction of the data.

Front

How can you determine the strength of a trend in a scatterplot?

Back

The strength of a trend can be determined by how closely the data points cluster around the line of best fit. A strong trend has points that are close to the line, while a weak trend has points that are more spread out.

Front

What does it mean if a scatterplot shows no association?

Back

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

Front

What is a linear association?

Back

A linear association is a relationship between two variables that can be represented by a straight line on a scatterplot.

Front

What is a non-linear association?

Back

A non-linear association is a relationship between two variables that cannot be accurately represented by a straight line; it may curve or change direction.

Front

What is an example of a negative association in a scatterplot?

Back

An example of a negative association is the relationship between the amount of fog in the sky and the distance a pilot can see; as fog increases, visibility decreases.

Front

What does 'weak' mean in the context of trends?

Back

'Weak' refers to a trend where the data points are not closely clustered around the line of best fit, indicating a less reliable relationship between the variables.