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4.13 Non-linear regressionIB Maths: Applications and Interpretation HL: Mind map

What this mind map covers

  • Models
  • Technology
  • Sum of squares
  • R^2
  • Geometric link
  • Judging a model

Exam questions on 4.13 Non-linear regression

  1. The number of bacteria NN (in thousands) in a culture is counted every hour for six hours. At times t=0,1,2,3,4,5,6t=0, 1, 2, 3, 4, 5, 6 hours the counts are 3.5,4.8,6.7,9.2,12.7,17.5,24.23.5, 4.8, 6.7, 9.2, 12.7, 17.5, 24.2. Use your GDC.
    Interpret the value 1.381.38 in the model N=3.50×1.38tN=3.50\times1.38^{t}, and state the link between this model and a geometric sequence.2 marks
  2. The braking distance dd metres of a car was measured at speeds vv km/h. The results for (v,d)(v, d) were (20,6.4)(20, 6.4), (30,9.5)(30, 9.5), (40,16.9)(40, 16.9), (50,23.0)(50, 23.0), (60,34.6)(60, 34.6), (70,43.8)(70, 43.8), (80,58.7)(80, 58.7). Using your GDC, linear regression gives r=0.982r=0.982, and quadratic regression gives d=0.00940v2−0.0719v+3.88d=0.00940v^2-0.0719v+3.88 with sum of squared residuals SSres=4.67SS_{res}=4.67 and R2=0.998R^2=0.998.
    A student says: "The quadratic model has a larger R2R^2 than the linear model (0.998>0.9640.998>0.964), so it will give a reliable braking distance at 150150 km/h." Give two reasons why this conclusion is not justified.2 marks
  3. Astronomers record the mean distance dd of each planet from the Sun, in astronomical units (AU), and its orbital period TT in years: Mercury (0.387,0.241)(0.387, 0.241), Venus (0.723,0.615)(0.723, 0.615), Earth (1.000,1.000)(1.000, 1.000), Mars (1.524,1.881)(1.524, 1.881), Jupiter (5.203,11.86)(5.203, 11.86), Saturn (9.537,29.46)(9.537, 29.46). A power model T=a×d bT=a\times d^{\,b} is to be fitted. Use your GDC.
    Use your GDC to find the power regression model T=a×d bT=a\times d^{\,b}, giving aa and bb to 3 significant figures.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).