1 Bob, a church warden, decides to investigate the lifetime of a particular manufacturer's brand of beeswax candle. Each candle is 30 cm in length.
From a box containing a large number of such candles, he selects one candle at random. He lights the candle and, after it has burned continuously for \(x\) hours, he records its length, \(y \mathrm {~cm}\), to the nearest centimetre. His results are shown in the table.
| \(\boldsymbol { x }\) | 5 | 10 | 15 | 20 | 25 | 30 | 35 | 40 | 45 |
| \(\boldsymbol { y }\) | 27 | 25 | 21 | 19 | 16 | 11 | 9 | 5 | 2 |
- State the value that you would expect for \(a\) in the equation of the least squares regression line, \(y = a + b x\).
- Calculate the equation of the least squares regression line, \(y = a + b x\).
- Interpret the value that you obtain for \(b\).
- It is claimed by the candle manufacturer that the total length of time that such candles are likely to burn for is more than 50 hours.
Comment on this claim, giving a numerical justification for your answer.