Given the price of crude oil, gasoline, and diesel for the past several years, pupils plot the data to determine whether a correlation exists. Learners determine a regression line and predict the price of gasoline and diesel in the future. Scholars also check to see if a correlation exists between the amount of crude oil produced during the year and the price of its products. 

Concepts

math modeling, correlation, scatter plots, gasoline, oil, linear regression, regression line

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Additional Tags

math

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Instructional Ideas

• Update the data to present time
• Brainstorm other product that might be affected by the price of crude oil

Classroom Considerations

• The class should understand how to find the regression line

Pros

• Includes a list of assessment criteria and point values
• Contains a sample benchmark solution

Cons

• None

Common Core

MP3 MP4 HSS-ID.B.6.a HSS-ID.B.6.b HSS-ID.B.6.c HSS-ID.C.7 HSS-ID.C.8