9.1 Scatter Plot & Associations

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What is a scatter plot?

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

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CCSS.8.SP.A.1

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What does a positive association in a scatter plot indicate?

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

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CCSS.HSS.ID.B.5

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What does a negative association in a scatter plot indicate?

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

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CCSS.HSF-LE.A.1B

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

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

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CCSS.HSF-LE.A.1B

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What is a linear relationship in a scatter plot?

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A linear relationship is when the data points form a straight line, indicating a consistent rate of change between the two variables.

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CCSS.8.F.A.3

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What is a non-linear relationship in a scatter plot?

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A non-linear relationship is when the data points do not form a straight line, indicating that the rate of change between the variables varies.

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CCSS.8.F.A.3

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What is a strong association in a scatter plot?

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A strong association means that the data points are closely clustered around a line or curve, indicating a clear relationship.

Tags

CCSS.HSF-LE.A.1B

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What is a weak association in a scatter plot?

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A weak association means that the data points are more spread out and do not closely follow a line or curve, indicating a less clear relationship.

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

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A positive weak association is identified when the data points trend upwards but are widely scattered, showing a slight upward slope.

Tags

CCSS.HSS.ID.B.5

Front

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

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A negative strong association is identified when the data points trend downwards closely along a line, indicating a clear downward slope.