It is believed that there is a correlation between the number of fogging sessions and the number of new dengue cases. To test the effectiveness of fogging on controlling the spread of dengue, a particular neighbourhood is subjected to a number of fogging sessions (xx) spread out regularly in a month and the corresponding number of new dengue cases (yy) is recorded. The results are summarised in the following table:

  1. ((i))

    Calculate the product moment correlation coefficient between xx and yy, and explain whether your answer suggests that a linear model is appropriate.

  2. ((ii))

    Draw a scatter diagram for the data.

  3. ((iii))

    One of the data points appears to be incorrect.

    Indicate this point by labelling it as PP, and explain why the scatter diagram for the remaining points may be consistent with a model of the form

    y=Aebxy = Ae^{bx}.

  4. ((iv))

    Omitting PP, use an appropriate regression line to give the best estimate, to the nearest whole number, of the number of fogging sessions in a month when the number of new dengue cases is 7.

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Worked solution

8((i))

1. Calculate the product moment correlation coefficient $r$ using a calculator

Entering the values of xx and yy into a graphing calculator:
r=−0.95509...r = -0.95509...
r=−0.955r = -0.955 (to 3 s.f.)

2. Explain whether the value of $r$ suggests a linear model is appropriate

Since r=−0.955r = -0.955 is close to −1-1, it indicates a strong negative linear correlation between xx and yy. Therefore, based on this value alone, it suggests that a linear model is appropriate.

Answer

r=−0.955r = -0.955
Since rr is close to −1-1, it suggests a strong negative linear correlation, meaning a linear model is appropriate.

8((ii))

1. Draw axes, determine scales, and plot the given data points

Set up a pair of axes with appropriate linear scales to accommodate the domains 0≤x≤140 \le x \le 14 and 0≤y≤200 \le y \le 20.
Plot the given points accurately: (2,20)(2, 20), (4,14)(4, 14), (6,9)(6, 9), (8,6)(8, 6), (10,7)(10, 7), (12,2)(12, 2), and (14,1)(14, 1).
Label the axes clearly as 'No. of fogging sessions, xx' and 'No. of new dengue cases, yy'.

Answer

[A properly scaled scatter diagram with the points (2,20)(2, 20), (4,14)(4, 14), (6,9)(6, 9), (8,6)(8, 6), (10,7)(10, 7), (12,2)(12, 2), and (14,1)(14, 1) plotted, with the horizontal axis labelled xx and the vertical axis labelled yy.]

8((iii))

1. Identify the incorrect data point $P$ from the anomaly in the trend.

Observing the general trend, as xx increases, yy is decreasing. However, from x=8x=8 to x=10x=10, yy incorrectly increases from 66 to 77. Thus, the anomalous point is (10,7)(10, 7).

P(10,7)P(10, 7)

2. Explain why the remaining points are consistent with an exponential model.

Excluding PP, the remaining points on the scatter diagram form a curve where the gradient is negative but increasing towards 00 (i.e. becoming less steep). This means yy decreases at a decreasing rate as xx increases, which visually matches the shape of an exponential curve y=Aebxy = Ae^{bx} with A>0A > 0 and b<0b < 0.

Answer

PP is the point (10,7)(10, 7).

The scatter diagram of the remaining points shows that as xx increases, yy decreases at a decreasing rate. This non-linear, concave upward decreasing trend is characteristic of an exponential decay curve y=Aebxy = Ae^{bx} where A>0A > 0 and b<0b < 0.

8((iv))

1. Identify the appropriate regression line and find its equation using the valid data points.

Since the number of fogging sessions (xx) is predetermined and spread out regularly, xx is the independent (controlled) variable. Therefore, the appropriate regression line to use is the regression line of ln⁡y\ln y on xx.

Omitting the anomalous point P(10,7)P(10, 7), we use the remaining 6 data points to obtain the equation from a graphing calculator:
ln⁡y=−0.24888x+3.6276\ln y = -0.24888x + 3.6276

2. Substitute the given value of $y$ to estimate $x$.

Substitute y=7y = 7 into the regression equation to find the corresponding value of xx:
ln⁡7=−0.24888x+3.6276\ln 7 = -0.24888x + 3.6276
0.24888x=3.6276−1.94590.24888x = 3.6276 - 1.9459
0.24888x=1.68170.24888x = 1.6817
x≈6.757x \approx 6.757

Rounding to the nearest whole number, the best estimate for the number of fogging sessions is 77.

Answer

77

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