1 Each Monday, Azher has a stall at a town's outdoor market. The table below shows, for each of a random sample of 10 Mondays during 2003, the air temperature, \(x ^ { \circ } \mathrm { C }\), at 9 am and Azher's takings, £y.
| Monday | \(\mathbf { 1 }\) | \(\mathbf { 2 }\) | \(\mathbf { 3 }\) | \(\mathbf { 4 }\) | \(\mathbf { 5 }\) | \(\mathbf { 6 }\) | \(\mathbf { 7 }\) | \(\mathbf { 8 }\) | \(\mathbf { 9 }\) | \(\mathbf { 1 0 }\) |
| \(\boldsymbol { x }\) | 2 | 6 | 9 | 18 | 1 | 3 | 7 | 12 | 13 | 4 |
| \(\boldsymbol { y }\) | 97 | 103 | 136 | 245 | 121 | 78 | 145 | 128 | 141 | 312 |
- A scatter diagram of these data is shown below.
\includegraphics[max width=\textwidth, alt={}, center]{7faa4a2d-f5cc-4cc3-a3a9-5d8290ceabdc-2_901_1068_1078_447}
Give two distinct comments, in context, on what this diagram reveals. - One of the Mondays is found to be Easter Monday, the busiest Monday market of the year. Identify which Monday this is most likely to be.
- Removing the data for the Monday you identified in part (b), calculate the value of the product moment correlation coefficient for the remaining 9 pairs of values of \(x\) and \(y\).
- Name one other variable that would have been likely to affect Azher's takings at this town's outdoor market.
(l mark)