Scatterplots

Front

What is a scatterplot?

Back

A scatterplot is a graphical representation of two variables, showing the relationship between them using points on a Cartesian plane.

Front

What does a positive correlation in a scatterplot indicate?

Back

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

Front

What does a negative correlation in a scatterplot indicate?

Back

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

Front

What does it mean if a scatterplot shows no correlation?

Back

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

Front

What is a linear relationship in a scatterplot?

Back

A linear relationship means that the points in the scatterplot can be approximated by a straight line.

Front

What is a non-linear relationship in a scatterplot?

Back

A non-linear relationship means that the points in the scatterplot do not follow a straight line and may curve or cluster in a different pattern.

Front

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

Back

A linear and negative association is identified when the points slope downwards from left to right, indicating that as one variable increases, the other decreases.

Front

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

Back

A linear and positive association is identified when the points slope upwards from left to right, indicating that as one variable increases, the other also increases.

Front

What is the significance of the slope in a scatterplot?

Back

The slope indicates the direction and steepness of the relationship between the two variables; a positive slope indicates a positive correlation, while a negative slope indicates a negative correlation.

Front

What does it mean if a scatterplot is clustered tightly around a line?

Back

If the points are clustered tightly around a line, it indicates a strong correlation between the two variables.