Not all roles available for this page.
Sign in to view assessments and invite other educators
Sign in using your existing Kendall Hunt account. If you don’t have one, create an educator account.
Which three go together? Why do they go together?
Your teacher will give you a piece of pasta and a straightedge.
Here are two copies of the same scatter plot. Experiment with drawing lines to fit the data. Draw the line that you think best fits the data. Compare it with a partner’s.
Here are two copies of another scatter plot. Experiment with drawing lines to fit the data. Draw the line that you think best fits the data. Compare it with a partner’s.
The scatter plots both show the year and price for the same 13 used cars. However, each scatter plot shows a different model for the relationship between year and price.
For how many cars does the model in Diagram A make a good prediction of its price?
For how many cars does the model underestimate the price?
For how many cars does it overestimate the price?
For how many cars does the model in Diagram B make a good prediction of its price?
For how many cars does the model underestimate the price?
For how many cars does it overestimate the price?
For how many cars does the prediction made by the model in Diagram A differ by more than \$3,000? What about the model in Diagram B?
Is this line a good fit for the data? Explain your reasoning.
Draw a line that fits the data better.
Is this line a good fit for the data? Explain your reasoning.
Draw a line that fits the data better.
When a linear function fits data well, we say there is a “linear association” between the variables. For example, the relationship between height and weight for 25 dogs with the linear function whose graph is shown in the scatter plot.
We say there is a positive association between dog height and dog weight because knowledge about one variable helps predict the other variable, and when one variable increases, the other tends to increase as well.
What do you think the association between the weight of a car and its fuel efficiency is?
We say that there is a negative association between fuel efficiency and weight of a car because knowledge about one variable helps predict the other variable, and when one variable increases, the other tends to decrease.
A negative association is a relationship between 2 quantities where one tends to decrease as the other increases. In a scatter plot, the data points tend to group around a line with negative slope.
This scatter plot shows a negative association between the the price of a book and the number of books sold.
A positive association is a relationship between 2 quantities where one tends to increase as the other increases. In a scatter plot, the data points tend to group around a line with positive slope.
This scatterplot shows a positive association between dog height and dog weight.