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4.4 Correlation and linear regressionIB Maths: Applications and Interpretation SL: Mind map

What this mind map covers

  • Scatter diagrams
  • Pearson's r
  • Causation
  • Regression y on x
  • Prediction
  • Exam tips

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
See the full worksheet

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).