A-level · Data presentation

Measuring correlation (the PMCC)Exam-style questions

The product moment correlation coefficient r as a number between −1 and 1 measuring linear correlation — computing it from the summary statistics S_xy, S_xx, S_yy, interpreting it in context, and why coding leaves it unchanged.

15 questions · A-level level · mark scheme and worked solution on each · no sign-up to try

DifficultyAllLevel 2Level 3
  1. 1
    For 88 pairs of data: ∑x=48\sum x = 48, ∑y=96\sum y = 96, ∑xy=676\sum xy = 676, ∑x2=360\sum x^2 = 360, ∑y2=1304\sum y^2 = 1304. Find rr to 3 d.p.
    Level 3 · 4 marksTry it
  2. 2
    For 1010 pairs of data: ∑x=50\sum x = 50, ∑y=100\sum y = 100, ∑xy=590\sum xy = 590, ∑x2=300\sum x^2 = 300, ∑y2=1200\sum y^2 = 1200. Find rr to 3 d.p.
    Level 3 · 4 marksTry it
  3. 3
    The product moment correlation coefficient between daily temperature and ice-cream sales is found to be r=0.88r = 0.88. Interpret this value in context.
    Level 3 · 2 marksTry it
  4. 4
    A student codes the variable xx using p=x−505p = \dfrac{x - 50}{5} and finds the PMCC between pp and yy to be 0.740.74. State, with a reason, the PMCC between xx and yy.
    Level 3 · 2 marksTry it
  5. 5
    The table shows five pairs of data.

    x12345y23546\begin{array}{c|ccccc} x & 1 & 2 & 3 & 4 & 5 \\\\ \hline y & 2 & 3 & 5 & 4 & 6 \end{array}

    Calculate the product moment correlation coefficient, to 3 d.p.1234561234567xy
    Level 3 · 4 marksTry it

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