Making Predictions and Reading 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.

Tags

CCSS.8.SP.A.1

Front

What does a positive correlation indicate in a scatterplot?

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 indicate in a scatterplot?

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 the context of a scatterplot?

Back

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

Tags

CCSS.HSS.ID.B.5

Front

What is the purpose of a line of best fit?

Back

The line of best fit is used to summarize the relationship between variables and to make predictions based on the data.

Tags

CCSS.8.EE.B.5

Front

How can you determine the line of best fit on a scatterplot?

Back

The line of best fit can be determined by visually assessing the data points and drawing a line that best represents the trend of the data.

Tags

CCSS.8.SP.A.2

Front

If a scatterplot shows a downward trend, what type of correlation is present?

Back

A downward trend in a scatterplot indicates a negative correlation.

Tags

CCSS.HSS.ID.B.5

Front

What is the significance of the slope of the line of best fit?

Back

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

How can you use a scatterplot to make predictions?

Back

You can use a scatterplot to make predictions by locating a value on one axis and using the line of best fit to find the corresponding value on the other axis.

Front

What does it mean if a data point lies far from the line of best fit?

Back

A data point that lies far from the line of best fit is considered an outlier, which may indicate an unusual observation.