Scatter Plots and Association

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional grid.

Front

What does it mean if a scatter plot shows a positive correlation?

Back

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

Front

What does it mean if a scatter plot shows a negative correlation?

Back

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

Front

What is an outlier in a scatter plot?

Back

An outlier is a data point that is significantly different from other points in the scatter plot, often lying far away from the main cluster.

Front

What does 'no correlation' mean in a scatter plot?

Back

No correlation means there is no apparent relationship between the two variables; the points are scattered randomly.

Front

What is the difference between linear and nonlinear relationships in scatter plots?

Back

A linear relationship can be represented by a straight line, while a nonlinear relationship cannot be represented by a straight line and may curve or change direction.

Front

How can you determine the strength of a correlation in a scatter plot?

Back

The strength of a correlation can be determined by how closely the data points cluster around a line; a tighter cluster indicates a stronger correlation.

Front

What is the purpose of using scatter plots?

Back

Scatter plots are used to visually represent the relationship between two variables and to identify patterns, trends, or outliers.

Front

What does a strong negative correlation look like in a scatter plot?

Back

A strong negative correlation appears as a downward slope where points are closely clustered along a line that goes from the top left to the bottom right.

Front

What does a strong positive correlation look like in a scatter plot?

Back

A strong positive correlation appears as an upward slope where points are closely clustered along a line that goes from the bottom left to the top right.