Scatter Plots

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables where each point represents an observation in the dataset, showing the relationship between the variables.

Tags

CCSS.8.SP.A.1

Front

What does a positive slope indicate in a scatter plot?

Back

A positive slope indicates that as one variable increases, the other variable also increases.

Tags

CCSS.8.EE.B.5

Front

What does a negative slope indicate in a scatter plot?

Back

A negative slope indicates that as one variable increases, the other variable decreases.

Tags

CCSS.8.EE.B.5

Front

What does it mean if a scatter plot has no association?

Back

If a scatter plot has no association, it means there is no discernible relationship between the two variables, and the points are scattered randomly.

Tags

CCSS.HSS.ID.B.5

Front

What is an outlier in a scatter plot?

Back

An outlier is a data point that differs significantly from other observations in the dataset, potentially affecting the slope and overall interpretation of the scatter plot.

Tags

CCSS.8.SP.A.1

Front

How can you identify a positive slope in a scatter plot?

Back

A positive slope can be identified by observing that the points trend upwards from left to right.

Tags

CCSS.8.EE.B.6

Front

How can you identify a negative slope in a scatter plot?

Back

A negative slope can be identified by observing that the points trend downwards from left to right.

Tags

CCSS.8.EE.B.6

Front

What does a slope of 0 indicate in a scatter plot?

Back

A slope of 0 indicates that there is no change in the dependent variable as the independent variable changes, resulting in a horizontal line.

Tags

CCSS.8.EE.B.5

Front

What is the significance of the slope in a scatter plot?

Back

The slope indicates the direction and strength of the relationship between the two variables being analyzed.

Tags

CCSS.8.EE.B.5

Front

What is the purpose of using scatter plots in data analysis?

Back

Scatter plots are used to visually assess the relationship between two quantitative variables, helping to identify trends, correlations, and potential outliers.

Tags

CCSS.8.SP.A.1