OCR S1 2014 June — Question 5

Exam BoardOCR
ModuleS1 (Statistics 1)
Year2014
SessionJune
TopicBivariate data
TypeCalculate regression line equation

5 Tariq collected information about typical prices, \(\pounds y\) million, of four-bedroomed houses at varying distances, \(x\) miles, from a large city. He chose houses at 10 -mile intervals from the city. His results are shown below.
\(x\)1020304050607080
\(y\)1.21.41.20.90.80.50.50.3
$$n = 8 \quad \Sigma x = 360 \quad \Sigma x ^ { 2 } = 20400 \quad \Sigma y = 6.8 \quad \Sigma y ^ { 2 } = 6.88 \quad \Sigma x y = 241$$
  1. Use an appropriate formula to calculate the product moment correlation coefficient, \(r\), showing that \(- 1.0 < r < - 0.9\).
  2. State what this value of \(r\) shows in this context.
  3. Tariq decides to recalculate the value of \(r\) with the house prices measured in hundreds of thousands of pounds, instead of millions of pounds. State what effect, if any, this will have on the value of \(r\).
  4. Calculate the equation of the regression line of \(y\) on \(x\).
  5. Explain why the regression line of \(y\) on \(x\), rather than \(x\) on \(y\), should be used for estimating a value of \(x\) from a given value of \(y\).