Curriki

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Students use the least-squares line to predict values for a given data set.

Students use residuals to evaluate the accuracy of predictions based on the least-squares line.

Teacher and Student versions of full lesson from engageNY

Students use technology to determine the value of the correlation coefficient for a given data set.

Students interpret the value of the correlation coefficient as a measure of strength and direction of a linear relationship.

Students explain why correlation does not imply causation.

Students use data to develop a poster that involves the focus standards.

Students construct a scatter plot of the data.

Students analyze their data, examining the residual plot, and interpreting the correlation coefficient.

Exercises from Illustrative MathematicsA set of 4 exercises, commentary, and solutions

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