Unit 7 Review Flashcardizz-Scatterplots

Front

What is a scatterplot?

Back

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

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What does a linear relationship in a scatterplot indicate?

Back

A linear relationship indicates that as one variable increases or decreases, the other variable does so in a consistent manner, forming a straight line when graphed.

Front

What is a non-linear relationship in a scatterplot?

Back

A non-linear relationship indicates that the relationship between the variables does not form a straight line; instead, it may curve or change direction.

Front

What does a positive association in a scatterplot mean?

Back

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

Front

What does a negative association in a scatterplot mean?

Back

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

Front

What does 'no association' mean in the context of scatterplots?

Back

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

Front

How can you identify a linear relationship in a scatterplot?

Back

A linear relationship can be identified if the data points roughly form a straight line, either sloping upwards (positive) or downwards (negative).

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that fall far away from the other points in the scatterplot; they can indicate variability in the data or errors in measurement.

Front

What does it mean if a scatterplot shows a downward trend?

Back

A downward trend in a scatterplot indicates a negative association, where one variable decreases as the other increases.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually assess the relationship between two variables, helping to identify patterns, trends, and correlations.