OCR MEI Further Statistics Major 2023 June — Question 2

Exam BoardOCR MEI
ModuleFurther Statistics Major (Further Statistics Major)
Year2023
SessionJune
TopicLinear regression
TypeDirect prediction from given regression line

2 A student is investigating the link between temperature and electricity consumption in the winter months. The student finds the average minimum temperature, \(x ^ { \circ } \mathrm { C }\), from across the country on a day. The student then finds the total electricity consumption for that day, \(y \mathrm { GWh }\). The scatter diagram below shows the values of \(x\) and \(y\) obtained from a random sample of 10 winter days. It also shows the equation of the regression line of \(y\) on \(x\) and the value of \(r ^ { 2 }\), where \(r\) is the product moment correlation coefficient.
\includegraphics[max width=\textwidth, alt={}, center]{c692fb20-436f-4bc1-89bd-10fdba41ceba-03_776_1043_609_244}
  1. Use the regression line to estimate the electricity consumption at each of the following average minimum temperatures.
    • \(5 ^ { \circ } \mathrm { C }\)
    • \(- 4 ^ { \circ } \mathrm { C }\)
    • Comment on the reliability of your estimates.