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 correlation indicate in a scatter plot?

Back

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

Front

What does a negative correlation indicate in a scatter plot?

Back

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

Front

What does 'no correlation' mean in the context of scatter plots?

Back

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

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

How can you determine the type of correlation from a scatter plot?

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You can determine the type of correlation by observing the direction of the data points: upward slope indicates positive correlation, downward slope indicates negative correlation, and no slope indicates no correlation.

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What does it mean if the points on a scatter plot are tightly clustered?

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If the points are tightly clustered, it indicates a strong correlation between the two variables.

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What does it mean if the points on a scatter plot are widely spread out?

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If the points are widely spread out, it indicates a weak correlation between the two variables.

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What is an example of a positive correlation in real life?

Back

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

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What is an example of a negative correlation in real life?

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An example of a negative correlation is the relationship between outdoor temperature and the number of layers of clothing worn; as temperature increases, the number of layers typically decreases.