Scatterplot review

Front

What is a scatterplot?

Back

A scatterplot is a type of graph that displays values for typically two variables for a set of data. Each point on the graph represents an observation.

Front

What does a positive correlation in a scatterplot 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 scatterplot 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 scatterplot?

Back

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

Front

What is the purpose of a trend line in a scatterplot?

Back

A trend line is used to show the general direction of the data points and can help identify the type of correlation.

Front

How can you determine the strength of a correlation from a scatterplot?

Back

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

Front

What is the difference between linear and non-linear relationships in scatterplots?

Back

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

Front

What does it mean if a scatterplot shows a weak correlation?

Back

A weak correlation means that the data points are spread out and do not closely follow a trend line, indicating a less predictable relationship.

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What is an inverse-square relationship?

Back

An inverse-square relationship is a type of relationship where one variable decreases as the square of the other variable increases, often seen in physics.

Front

How can outliers affect a scatterplot?

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Outliers can skew the results and may misrepresent the correlation by pulling the trend line away from the majority of the data points.