Scatterplots

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What is a scatterplot?

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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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CCSS.8.SP.A.1

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What does a positive correlation indicate in a scatterplot?

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A positive correlation 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 correlation indicate in a scatterplot?

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

Tags

CCSS.HSS.ID.B.5

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What does 'no correlation' mean in a scatterplot?

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

Tags

CCSS.HSS.ID.B.5

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What is the line of best fit?

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The line of best fit is a straight line that best represents the data on a scatterplot, showing the general direction of the data points.

Tags

CCSS.8.EE.B.5

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How do you determine the line of best fit?

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The line of best fit can be determined using methods such as least squares regression, which minimizes the distance between the data points and the line.

Tags

CCSS.8.EE.B.5

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What is the purpose of using scatterplots?

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Scatterplots are used to visually represent the relationship between two variables, making it easier to identify trends, correlations, and outliers.

Tags

CCSS.8.SP.A.1

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What is an outlier in a scatterplot?

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An outlier is a data point that significantly differs from the other points in the scatterplot, potentially indicating an anomaly or error.

Tags

CCSS.8.SP.A.1

Front

How can you interpret the slope of the line of best fit?

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The slope of the line of best fit indicates the rate of change between the two variables; a steeper slope means a stronger relationship.

Tags

CCSS.8.EE.B.5

Front

What does it mean if the points in a scatterplot are tightly clustered around the line of best fit?

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If the points are tightly clustered around the line of best fit, it indicates a strong correlation between the two variables.