Scatter Plot Associations

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 association in a scatter plot indicate?

Back

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

Front

What does a negative association in a scatter plot indicate?

Back

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

Front

What is correlation in the context of scatter plots?

Back

Correlation refers to the strength and direction of a relationship between two variables, which can be positive, negative, or no correlation.

Front

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

Back

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

Front

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

Back

A strong positive association is identified when the data points closely follow a straight line that slopes upwards.

Front

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

Back

A strong negative association is identified when the data points closely follow a straight line that slopes downwards.

Front

What is the difference between strong and weak associations in scatter plots?

Back

Strong associations have data points that are closely clustered around a line, while weak associations have data points that are more spread out.

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What is an example of a positive correlation?

Back

An example of a positive correlation is the relationship between hours studied and test scores; generally, more study hours lead to higher scores.

Front

What is an example of a negative correlation?

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An example of a negative correlation is the relationship between the number of absences from school and math average; more absences typically lead to lower averages.