2024 HCI P2 Q11

2024 HCI P2 Q11

12 marks

An experiment was carried out to investigate the growth rate of a particular species of plant. The following table gives the height of the plant specimen, \(h\) centimeters, at the start of the \(n^{\text{th}}\) month.

\(n\)\(1\)\(2\)\(4\)\(6\)\(8\)\(10\)
\(h\)\(6.22\)\(9.06\)\(13.62\)\(16.62\)\(18.46\)\(19.72\)

A possible model for the growth rate is given to be

\[h = \frac{an}{b + n},\]

where \(a\) and \(b\) are constants.

  1. By writing the above equation in a form that is linear in \(\frac{1}{h}\) and \(\frac{1}{n}\), calculate the equation of the least squares regression line of \(\frac{1}{h}\) on \(\frac{1}{n}\). Hence find estimates for the values of \(a\) and \(b\), correct to \(3\) decimal places.[4]
  2. Sketch a scatter diagram for \(\frac{1}{h}\) against \(\frac{1}{n}\) and include the least squares regression line found in part (a).

    [2]
  3. Explain in the context of the question, the significance of the value of \(a\).[1]
  4. Use the least squares regression line in part (a) to find the least integer value of \(n\) required for the plant to reach a height of \(18\) centimeters. Explain whether you would expect this estimate to be reliable.

    [3]

For a line of best fit \(y = \mathrm{f}(x)\), the residual for a point \((p, q)\) plotted on the scatter diagram is the vertical distance between \((p, \mathrm{f}(p))\) and \((p, q)\).

  1. Mark the residual for each point on the scatter diagram in part (b).

    [1]
  2. Find the sum of squares of the residuals for the least squares regression line of \(\frac{1}{h}\) on \(\frac{1}{n}\), giving your answer correct to \(5\) significant figures.[1]

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Answer:(a) \(\dfrac1h=0.12350\dfrac1n+0.040853\); \(a=24.478\), \(b=3.023\) (b) See scatter diagram. (c) \(a\) is the theoretical limiting height. (d) \(n=9\); reliable. (e) See residual diagram. (f) \(0.000088416\) (5 s.f.)

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