OCR MEI Further Statistics Major 2022 June — Question 5

Exam BoardOCR MEI
ModuleFurther Statistics Major (Further Statistics Major)
Year2022
SessionJune
TopicLinear regression
TypeCalculate y on x from raw data table

5 A motorist is investigating the relationship between tyre pressure and temperature. As the temperature increases during a hot day, she records the pressure (measured in bars) of one of her car tyres at specific temperatures of \(20 ^ { \circ } \mathrm { C } , 22 ^ { \circ } \mathrm { C } , \ldots , 36 ^ { \circ } \mathrm { C }\). The results are shown in Table 5.1. \begin{table}[h]
Temperature \(\left( t ^ { \circ } \mathrm { C } \right)\)202224262830323436
Tyre pressure \(( P\) bar \()\)2.0122.0362.0652.0742.1142.1402.1492.1762.192
\captionsetup{labelformat=empty} \caption{Table 5.1}
\end{table}
  1. Calculate the equation of the regression line of pressure on temperature. Give your answer in the form \(P = a t + b\), giving the values of \(a\) and \(b\) to \(\mathbf { 4 }\) significant figures.
  2. Table 5.2 shows the residuals for most of the data values. Complete the copy of the table in the Printed Answer Booklet. \begin{table}[h]
    Temperature202224262830323436
    Residual tyre
    pressure
    - 0.003- 0.0020.004- 0.0100.011- 0.0030.001
    \captionsetup{labelformat=empty} \caption{Table 5.2}
    \end{table}
  3. With reference to the values of the residuals, comment on the goodness of fit of the regression line.
  4. Use your answer to part (a) to calculate an estimate of the pressure in the tyre at each of the following temperatures, giving your answers to \(\mathbf { 3 }\) decimal places.
    • \(25 ^ { \circ } \mathrm { C }\)
    • \(10 ^ { \circ } \mathrm { C }\)
    • Comment on the reliability of each of your estimates.