Analyzing Lines of Fit and Linear Regression

Lesson Prep

Lesson Details

• Duration: 50 minutes

• Learning Goal: Understand (using technology) how to calculate the correlation coefficient of a linear fit.

Prework

• Make sure you have Chromebooks or some other class set of technology

Answer Keys

• Link to Answer Keys

Classwork

• Game - Celebrity Age Guessing

  • Google Slides

  • Desmos Activity Builder For Responses

• Notes

Finished Early?

• Spiraling Practice

Standards

Common Core

• HSS.ID.B.6 – Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

• HSS.ID.B.6.C – Fit a linear function for a scatter plot that suggests a linear association.

• HSS.ID.C.8 – Compute (using technology) and interpret the correlation coefficient of a linear fit.

• HSS.ID.C.9 – Distinguish between correlation and causation.

TEKS

• A.4(A) – calculate, using technology, the correlation coefficient between two quantitative variables and interpret this quantity as a measure of the strength of the linear association

• A.4(B) – compare and contrast association and causation in real-world problems

• A.4(C) – write, with and without technology, linear functions that provide a reasonable fit to data to estimate solutions and make predictions for real-world problems