Unit 7 Review Flashcardizz-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 linear relationship in a scatterplot indicate?

Back

A linear relationship indicates that as one variable increases or decreases, the other variable tends to do the same in a consistent manner.

Front

What does a negative association in a scatterplot mean?

Back

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

Front

What does a positive association in a scatterplot mean?

Back

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

Front

What is a nonlinear relationship in a scatterplot?

Back

A nonlinear relationship means that the relationship between the variables does not follow a straight line; it may curve or change direction.

Front

How can you identify a scatterplot with no association?

Back

A scatterplot with no association shows data points that are randomly scattered without any discernible pattern or trend.

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 trends, correlations, or patterns.

Front

What does it mean if a scatterplot is described as 'scattered'?

Back

A 'scattered' scatterplot indicates that the data points do not show any clear pattern or relationship between the variables.

Front

How do you interpret the slope of a line in a scatterplot?

Back

The slope indicates the direction and steepness of the relationship; a positive slope means a positive relationship, while a negative slope indicates a negative relationship.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far from the other points; they can significantly affect the interpretation of the relationship between the variables.