Florida B.E.S.T. MA.912.DP.2.7

MathGrades 9–12Solve problems involving univariate and bivariate numerical data.

The Standard

Compute the correlation coefficient of a linear model using technology. Interpret the strength and direction of the correlation coefficient.

Florida B.E.S.T. Standards for Mathematics

Teacher's field guide

What This Standard Means

What Students Need to Do

Students use a calculator, spreadsheet, or graphing tool to compute the correlation coefficient for paired numerical data. They explain whether the relationship is positive or negative and weak, moderate, or strong.

What Mastery Looks Like

Students enter paired data correctly and use a calculator or spreadsheet to find the correlation coefficient. They describe values near 1 or -1 as strong and values near 0 as weak, using the data context.

Common Misconceptions

Students may treat a negative value as weaker than a positive value, even when its absolute value is larger. They may confuse correlation with slope or claim that correlation proves causation.

How to Assess It

Give the pairs (1, 2), (2, 3), (3, 5), (4, 4), and (5, 7). Students use technology to find r, then describe its strength and direction in one sentence.

Lesson moves

Ways to Teach It

  1. In pairs, measure classmates' hand spans and heights, enter the data in a spreadsheet, and interpret the resulting correlation coefficient.

  2. Ask students to compare r = 0.82 and r = -0.91, then explain which relationship is stronger and why.

  3. Give groups cards showing scatterplots and correlation coefficients, then have them race to match each plot with the most reasonable value.

  4. Collect mileage and price from ten used-car listings, compute the correlation coefficient, and explain what the result suggests about the market.

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