Scatterplots

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 strong positive correlation indicate in a scatterplot?

Back

A strong positive correlation indicates that as one variable increases, the other variable also increases, and the points on the scatterplot are closely clustered along a line that slopes upwards.

Front

What does a weak negative correlation indicate in a scatterplot?

Back

A weak negative correlation indicates that as one variable increases, the other variable tends to decrease, but the points on the scatterplot are more spread out and not closely clustered.

Front

What is a positive correlation?

Back

A positive correlation is a relationship between two variables in which both variables move in the same direction.

Front

What is a negative correlation?

Back

A negative correlation is a relationship between two variables in which one variable increases as the other decreases.

Front

What does no correlation mean?

Back

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

Front

How can you identify a strong correlation in a scatterplot?

Back

A strong correlation can be identified when the points on the scatterplot are closely packed along a straight line, either sloping upwards (positive) or downwards (negative).

Front

What is the purpose of using scatterplots?

Back

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

Front

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

Back

A positive linear association appears as a straight line that slopes upwards from left to right, indicating that as one variable increases, the other variable also increases.

Front

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

Back

A negative linear association appears as a straight line that slopes downwards from left to right, indicating that as one variable increases, the other variable decreases.