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 linear scatterplot indicate?

Back

A linear scatterplot indicates a straight-line relationship between the two variables, suggesting that as one variable increases, the other variable tends to increase or decrease at a constant rate.

Front

What is a trend line in a scatterplot?

Back

A trend line is a straight or curved line that best represents the data points in a scatterplot, helping to visualize the overall direction or trend of the data.

Front

What does a strong association in a scatterplot mean?

Back

A strong association means that the data points are closely clustered around a trend line, indicating a clear relationship between the two variables.

Front

What does a weak association in a scatterplot mean?

Back

A weak association means that the data points are more spread out and do not closely follow a trend line, indicating a less clear relationship between the two variables.

Front

How can you identify a linear relationship in a scatterplot?

Back

You can identify a linear relationship in a scatterplot by observing if the points form a pattern that resembles a straight line.

Front

What is the purpose of using scatterplots?

Back

The purpose of using scatterplots is to visually analyze the relationship between two quantitative variables and to identify patterns, trends, or correlations.

Front

What does it mean if a scatterplot has a positive correlation?

Back

A positive correlation in a scatterplot means that as one variable increases, the other variable also tends to increase.

Front

What does it mean if a scatterplot has a negative correlation?

Back

A negative correlation in a scatterplot means that as one variable increases, the other variable tends to decrease.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.