Scatter Plots

Front

What is a scatter plot?

Back

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

Front

What does a positive correlation in a scatter plot 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 scatter plot indicate?

Back

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

Front

What does no correlation mean in a scatter plot?

Back

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

Front

What is an example of a positive association?

Back

An example of a positive association is the relationship between the number of hours studied and test scores, where more study time generally leads to higher scores.

Front

What is an example of a negative association?

Back

An example of a negative association is the relationship between the amount of time spent watching TV and grades, where more TV time may lead to lower grades.

Front

What is a nonlinear association?

Back

A nonlinear association occurs when the relationship between two variables does not follow a straight line; it may curve or change direction.

Front

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

Back

A positive linear association is identified by a pattern of points that slopes upward from left to right, indicating that both variables increase together.

Front

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

Back

A negative linear association is identified by a pattern of points that slopes downward from left to right, indicating that as one variable increases, the other decreases.

Front

What is the purpose of using scatter plots?

Back

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