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9th grade · Math · Unit 22 of 22

The Correlation Coefficient

What r tells you

What your child practices

Reading the correlation coefficient r that technology gives for a line of best fit: its sign shows direction, its closeness to 1 or −1 shows strength, and it never shows cause on its own.

New York State Learning Standards learning standard: AI-S.ID.8 · calculating the correlation coefficient of a linear fit with technology and interpreting it

How we explain it

Children can open this short lesson before they practice.

  1. The correlation coefficient r, found with technology, is between −1 and 1.
  2. Its sign gives the direction; closeness to 1 or −1 gives the strength of the linear pattern.
  3. r near 0 means little linear relationship. A strong r never proves cause.

Example: r = −0.91 for a car's age and its value. What does it mean? The sign is negative: value tends to fall as age rises. 0.91 is close to 1: the points lie close to a line. Answer: A strong negative correlation

The Correlation Coefficient in New York

In the New York State Learning Standards, this is unit 22 of 22 in 9th grade Math, after Units & Accuracy.

Gradelings describes a child's practice on this unit as Beginning, Approaching, Meeting or Exceeding (Four practice steps). That reflects practice, not a report-card mark: the teacher decides the mark.

Source: New York State Education Department (NYSED)

Sample questions

A taste of this unit. In the app, questions change every time and get easier or harder to match your child.

  1. Question 1

    For outdoor temperature (x) and heating bill (y), r = −0.27. What does this tell you?

    • 27% of the points are on the line
    • higher outdoor temperature tends to go with higher heating bill
    • higher outdoor temperature tends to go with lower heating bill, but the points are widely scattered
    • outdoor temperature causes the change in heating bill
  2. Question 2

    A scatter plot curves like a U, and r is close to 0. What does this tell you?

    • there is no linear relationship, though there may be a curved one
    • the relationship is strongly linear
    • the data is wrong
    • there is no relationship of any kind
  3. Question 3

    Technology gives a correlation coefficient of r = 0.22. How would you describe it?

    • weak negative correlation
    • almost no linear correlation
    • weak positive correlation
    • strong negative correlation
  4. Question 4

    Which correlation coefficient shows the strongest linear relationship?

    • r = 0.92
    • r = −0.03
    • r = 0.31
    • r = −0.32
  5. Question 5

    Technology gives a correlation coefficient of r = −0.32. How would you describe it?

    • strong positive correlation
    • weak negative correlation
    • strong negative correlation
    • almost no linear correlation
  6. Question 6

    For hours of practice (x) and free throws made (y), r = 0.98. What does this tell you?

    • higher hours of practice tends to go with higher free throws made, and the points lie close to a line
    • hours of practice causes the change in free throws made
    • 98% of the points are on the line
    • higher hours of practice tends to go with lower free throws made