Identifying Strong and Weak Associations in Scatterplots

This lesson teaches how to identify strong and weak associations in scatterplots by examining the proximity of data points to the line of best fit. It clarifies common misconceptions about the relationship between slope and association strength. The video provides real-world examples, such as quiz and exam scores, and hot chocolate and coffee sales, to illustrate these concepts.

What is a scatter plot used for?

• To calculate the average of a dataset

• To display a single data point

• To list data in a tabular form

• To show the relationship between two sets of data

What determines the strength of an association in a scatter plot?

• The color of the data points

• The closeness of data points to the line of best fit

• The number of data points

• The steepness of the line of best fit

Which scatter plot shows a strong association?

• Data points form a perfect circle

• Data points are evenly distributed across the graph

• Data points are scattered far from the line of best fit

• Data points are close to the line of best fit

In the example of study time and quiz scores, which has a stronger association?

• The scatter plot of study time and exam scores

• Neither has a strong association

• Both have the same strength of association

• The scatter plot of study time and quiz scores

In the example of hot chocolate and coffee sales, which has a weaker association?

• The scatter plot of hot chocolate sales

• The scatter plot of coffee sales

• Neither has a weak association

• Both have the same strength of association