WJEC Further Unit 2 2024 June — Question 4

Exam BoardWJEC
ModuleFurther Unit 2 (Further Unit 2)
Year2024
SessionJune
TopicLinear regression
TypeFind unknown values from regression

4. An author poses the following question: Does using cash for transactions affect people's financial behaviour?
She collects data on 'Cash transactions as a \% of all transactions' and 'Household debt as a \(\%\) of net disposable income' from a random sample of 25 countries. The table below shows the data she collected. There are missing values, \(p\) and \(q\), for Malta and Denmark respectively.
CountryCash transactions as a \% of all transactions \(\boldsymbol { x }\)Household debt as a \% of net disposable income \(\boldsymbol { y }\)CountryCash transactions as a \% of all transactions \(\boldsymbol { x }\)Household debt as a \% of net disposable income \(\boldsymbol { y }\)
Malta92\(p\)France68120
Mexico90-14Luxembourg64177
Greece88107Belgium63113
Spain87110Finland54137
Italy8687Estonia4882
Austria8591The Netherlands45247
Portugal81131UK42147
Slovenia8056Australia37214
Germany8095USA32109
Ireland79154Sweden20187
Slovakia7874South Korea14182
Lithuania7546Denmark\(q\)261
Latvia7143
The summary statistics and scatter diagram below are for the other 23 countries. \begin{figure}[h]
\captionsetup{labelformat=empty} \caption{Household debt versus Cash transactions} \includegraphics[alt={},max width=\textwidth]{1538fa56-5b61-40ec-bb02-cf1ed9da5eb0-13_664_1296_511_379}
\end{figure} $$\begin{gathered} \sum x = 1467 \sum y = 2695 \sum x ^ { 2 } = 105073 \quad S _ { x x } = 11503 \cdot 91304 \quad S _ { y y } = 78669 \cdot 30435
\sum y ^ { 2 } = 394453 \sum x y = 152999 \quad S _ { x y } = - 18895 \cdot 13043 \end{gathered}$$
  1. Using the summary statistics for the 23 countries, calculate and interpret Pearson's product moment correlation coefficient.
  2. Calculate the equation of the least squares regression line of Household debt as a \% of net disposable income \(( y )\) on Cash transactions as a \% of all transactions ( \(x\) ). The regression line \(x\) on \(y\) is given below. $$x = - 0 \cdot 24 y + 91 \cdot 92$$
  3. By selecting the appropriate regression line in each case, estimate the values of \(p\) and \(q\) in the table.
  4. Comment on the reliability of your answers in part (c).
  5. Interpret the negative value of \(y\) for Mexico.