Scatter Plots TEKS 8.11A & 8.5C

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 axis.

Front

What does a positive linear association in a scatter plot indicate?

Back

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

Front

What does a negative linear association in a scatter plot indicate?

Back

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

Front

What does no association mean in a scatter plot?

Back

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

Front

What is a nonlinear association?

Back

A nonlinear association occurs when the relationship between two variables cannot be accurately represented by a straight line.

Front

How can you identify a positive linear association in a scatter plot?

Back

A positive linear association can be identified by a pattern of points that slopes upward from left to right.

Front

How can you identify a negative linear association in a scatter plot?

Back

A negative linear association can be identified by a pattern of points that slopes downward from left to right.

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 trends, patterns, or correlations.

Front

What conclusion can be drawn if a scatter plot shows a cluster of points with no clear trend?

Back

If a scatter plot shows a cluster of points with no clear trend, it suggests that there is no significant relationship between the two variables.

Front

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

Back

A strong correlation means that the points in the scatter plot are closely clustered around a line, indicating a strong relationship between the two variables.