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4.4 Correlation and linear regressionIB Maths: Applications and Interpretation HL: Flashcards

What these 13 flashcards ask

  • What does a positive correlation mean?
  • Range of values of Pearson's r?
  • What does r close to -1 tell you?
  • What does r close to 0 tell you?
  • When is r meaningful?
  • Does a strong correlation prove causation?
  • What point does a line of best fit pass through?
  • How do you find the regression line of y on x in exams?
  • What does a mean in y=ax+b?
  • What does b mean in y=ax+b?
  • What is extrapolation, and why is it risky?
  • Can you use the y on x line to predict x from y?
  • What is interpolation?

Exam questions on 4.4 Correlation and linear regression

  1. Over eight days a café records the maximum daily temperature, T ∘T\,^\circC, and the number of cold drinks sold, nn. TT: 18, 21, 24, 26, 29, 31, 34, 36. nn: 42, 55, 61, 70, 82, 85, 96, 104. The regression line of nn on TT has equation n=aT+bn=aT+b. Use your GDC.
    Use your regression line to estimate the number of cold drinks sold on a day when the maximum temperature is 28 ∘28\,^\circC.2 marks
  2. Over 12 months, a coastal town records its monthly ice-cream sales and the number of sunburn cases treated at its clinic. Pearson's product-moment correlation coefficient for the data is r=0.91r=0.91.
    Suggest a third variable that could explain the correlation between ice-cream sales and sunburn cases.2 marks
  3. A teacher records the number of hours, xx, that eight students revised for a test and their test score, yy (out of 100). xx: 2, 4, 5, 6, 8, 9, 10, 12. yy: 45, 52, 50, 61, 63, 70, 66, 78. Use your GDC.
    Find the value of Pearson's product-moment correlation coefficient rr, and the equation of the regression line of yy on xx.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).