S1 January 2012 Q5

EdexcelOld spec15 marksCorrelation & Regression

5. The age, \(t\) years, and weight, \(w\) grams, of each of 10 coins were recorded. These data are summarised below.

\[\sum t^2 = 2688 \qquad \sum tw = 1760.62 \qquad \sum t = 158 \qquad \sum w = 111.75 \qquad S_{ww} = 0.16\]
(a) Find \(S_{tt}\) and \(S_{tw}\) for these data. (3)
(b) Calculate, to 3 significant figures, the product moment correlation coefficient between \(t\) and \(w\). (2)
(c) Find the equation of the regression line of \(w\) on \(t\) in the form \(w = a + bt\) (4)
(d) State, with a reason, which variable is the explanatory variable. (2)
(e) Using this model, estimate
(i) the weight of a coin which is 5 years old,
(ii) the effect of an increase of 4 years in age on the weight of a coin.
(2)

It was discovered that a coin in the original sample, which was 5 years old and weighed 20 grams, was a fake.

(f) State, without any further calculations, whether the exclusion of this coin would increase or decrease the value of the product moment correlation coefficient. Give a reason for your answer. (2)