A2 June 2023 Q1

EdexcelCurrent spec7 marksCorrelationLinear Regression

1. Baako is investigating the times taken by children to run a 100 m race, \(x\) seconds, and a 500 m race, \(y\) seconds. For a sample of 20 children, Baako obtains the time taken by each child to run each race.

Here are Baako’s summary statistics.

\[\mathrm{S}_{xx} = 314.55 \qquad \mathrm{S}_{yy} = 9026 \qquad \mathrm{S}_{xy} = 1610\]\[\bar{x} = 19.65 \qquad \bar{y} = 108\]
(a) Calculate the product moment correlation coefficient between the times taken to run the 100 m race and the times taken to run the 500 m race. (2)
(b) Show that the equation of the regression line of \(y\) on \(x\) can be written as\[y = 5.12x + 7.42\]where the gradient and \(y\) intercept are given to 3 significant figures. (3)

The child who completed the 100 m race in 20 seconds took 104 seconds to complete the 500 m race.

(c) Find the residual for this child. (1)

The table below shows the signs of the residuals for the 20 children in order of finishing time for the 100 m race.

Sign of residual++++––+––––––––+++++
(d) Explain what the signs of the residuals show about the model’s predictions of the 500 m race times for the children who are fastest and slowest over the 100 m race. (1)