Scatter Plots

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.

Tags

CCSS.8.SP.A.1

Front

What does a positive correlation in a scatter plot indicate?

Back

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

Tags

CCSS.HSS.ID.B.5

Front

What does a negative correlation in a scatter plot indicate?

Back

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

Tags

CCSS.HSS.ID.B.5

Front

What does no correlation mean in a scatter plot?

Back

No correlation means there is no apparent relationship between the two variables; the data points do not show any trend.

Tags

CCSS.HSS.ID.B.5

Front

How can you determine the trend in a scatter plot?

Back

You can determine the trend by observing the direction of the data points; if they rise from left to right, it's positive; if they fall, it's negative.

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What is a trend line in a scatter plot?

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A trend line is a straight line that best represents the data points in a scatter plot, showing the general direction of the data.

Front

How do you interpret the slope of a trend line?

Back

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

Tags

CCSS.8.EE.B.5

Front

What is the purpose of using a scatter plot?

Back

The purpose of using a scatter plot is to visually display the relationship between two variables and to identify patterns or trends.

Tags

CCSS.8.SP.A.1

Front

What does it mean if a scatter plot has a cluster of points?

Back

A cluster of points indicates that there is a concentration of data values in that area, suggesting a possible relationship.

Tags

CCSS.8.SP.A.1

Front

How can you use a scatter plot to make predictions?

Back

You can use a scatter plot to make predictions by extending the trend line to estimate values for one variable based on the other.