Identifying the Type of Association in a Scatter Plot with Line of Best Fit

This lesson teaches how to identify associations in bivariate data using scatterplots and lines of best fit. It explains how to interpret scatterplots, understand positive and negative associations, and apply these concepts to real data examples. The lesson concludes with a summary of key points.

What is a scatterplot used for?

• To list data in a table format

• To show the relationship between two sets of data

• To display a single data point

• To calculate the average of a dataset

What does it mean if both variables in a scatterplot are increasing?

• The data is random

• There is a positive association

• There is a negative association

• There is no association

How can you identify a negative association in a scatterplot?

• The line of best fit is horizontal

• Both variables decrease

• One variable increases while the other decreases

• Both variables increase

In a scatterplot showing age and height, what does a positive association indicate?

• As age increases, height remains constant

• As age increases, height decreases

• As age increases, height increases

• There is no clear pattern

What does a negative association in a scatterplot of days absent and percent indicate?

• As days absent increase, percent increases

• Percent remains constant regardless of days absent

• Days absent and percent are unrelated

• As days absent increase, percent decreases