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 () spread out regularly in a month and the corresponding number of new dengue cases () is recorded. The results are summarised in the following table:
- ((i))
Calculate the product moment correlation coefficient between and , and explain whether your answer suggests that a linear model is appropriate.
- ((ii))
Draw a scatter diagram for the data.
- ((iii))
One of the data points appears to be incorrect.
Indicate this point by labelling it as , and explain why the scatter diagram for the remaining points may be consistent with a model of the form
.
- ((iv))
Omitting , 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.
It won't just hand you the answer — it asks where you're stuck.How the checker works
Worked solution
8((i))
1. Calculate the product moment correlation coefficient $r$ using a calculator
Entering the values of and into a graphing calculator:
(to 3 s.f.)
2. Explain whether the value of $r$ suggests a linear model is appropriate
Since is close to , it indicates a strong negative linear correlation between and . Therefore, based on this value alone, it suggests that a linear model is appropriate.
Since is close to , 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 and .
Plot the given points accurately: , , , , , , and .
Label the axes clearly as 'No. of fogging sessions, ' and 'No. of new dengue cases, '.
[A properly scaled scatter diagram with the points , , , , , , and plotted, with the horizontal axis labelled and the vertical axis labelled .]
8((iii))
1. Identify the incorrect data point $P$ from the anomaly in the trend.
Observing the general trend, as increases, is decreasing. However, from to , incorrectly increases from to . Thus, the anomalous point is .
2. Explain why the remaining points are consistent with an exponential model.
Excluding , the remaining points on the scatter diagram form a curve where the gradient is negative but increasing towards (i.e. becoming less steep). This means decreases at a decreasing rate as increases, which visually matches the shape of an exponential curve with and .
is the point .
The scatter diagram of the remaining points shows that as increases, decreases at a decreasing rate. This non-linear, concave upward decreasing trend is characteristic of an exponential decay curve where and .
8((iv))
1. Identify the appropriate regression line and find its equation using the valid data points.
Since the number of fogging sessions () is predetermined and spread out regularly, is the independent (controlled) variable. Therefore, the appropriate regression line to use is the regression line of on .
Omitting the anomalous point , we use the remaining 6 data points to obtain the equation from a graphing calculator:
2. Substitute the given value of $y$ to estimate $x$.
Substitute into the regression equation to find the corresponding value of :
Rounding to the nearest whole number, the best estimate for the number of fogging sessions is .
AI analysis — may contain mistakes.
Worked this one out on paper? Snap your steps and Gigle's AI math checker will circle the step where it went wrong.
More questions on this topic
- 1A teacher conducts a survey on 7 students to investigate the relationship between the number of hours () of "screen-t…
- 2The number of years () an employee has worked for the company and the corresponding salary increment, in dollars (…
- 3It is believed that the probability of a randomly chosen pregnant woman giving birth to a Down's Syndrome child is r…
- 4An electrical appliance supplier is investigating the potential impact of monthly advertisement expenditure, denoted as…
- 5A researcher is investigating the relationship between the students' test marks and their average daily duration of slee…