Understanding Scatter Plots and Correlations

What does a scatter plot primarily show?

• The relationship between two variables

• The average of a dataset

• The median of a dataset

• The mode of a dataset

What is a linear association in a scatter plot?

• A pattern where data points form a triangle

• A pattern where data points form a straight line

• A pattern where data points form a circle

• A pattern where data points are scattered randomly

How can a nonlinear association be identified?

• Data points form a straight line

• Data points form a curve

• Data points form a square

• Data points are scattered randomly

What does it mean when a scatter plot shows no apparent strong association?

• Data points are clustered in one area

• Data points form a perfect curve

• Data points are scattered with no clear pattern

• Data points form a perfect line

What is a positive correlation?

• As one variable decreases, the other increases

• As one variable increases, the other decreases

• As one variable increases, the other also increases

• As one variable increases, the other remains constant

What is a negative correlation?

• As one variable increases, the other decreases

• As one variable decreases, the other decreases

• As one variable remains constant, the other increases

• As one variable increases, the other increases

What are outliers in a scatter plot?

• Points that form a perfect curve

• Points that form a perfect line

• Points that are far from the general pattern

• Points that fit the general pattern

What might clusters in a scatter plot indicate?

• A perfect nonlinear relationship

• A perfect linear relationship

• A potential pattern or grouping in the data

• A random distribution of data

Why might a scientist be interested in outliers?

• They are irrelevant to the study

• They might reveal interesting or unusual phenomena

• They confirm the expected results

• They always indicate errors

What does a cluster of points in a scatter plot suggest?

• An error in data collection

• A perfect correlation

• A potential area of interest or concentration

• A lack of any pattern