3. A company owns two petrol stations \(P\) and \(Q\) along a main road. Total daily sales in the same week for \(P ( \pounds p )\) and for \(Q ( \pounds q )\) are summarised in the table below.
| \(p\) | \(q\) |
| Monday | 4760 | 5380 |
| Tuesday | 5395 | 4460 |
| Wednesday | 5840 | 4640 |
| Thursday | 4650 | 5450 |
| Friday | 5365 | 4340 |
| Saturday | 4990 | 5550 |
| Sunday | 4365 | 5840 |
When these data are coded using \(x = \frac { p - 4365 } { 100 }\) and \(y = \frac { q - 4340 } { 100 }\),
$$\Sigma x = 48.1 , \Sigma y = 52.8 , \Sigma x ^ { 2 } = 486.44 , \Sigma y ^ { 2 } = 613.22 \text { and } \Sigma x y = 204.95 .$$
- Calculate \(S _ { x y } , S _ { x x }\) and \(S _ { y y }\).
- Calculate, to 3 significant figures, the value of the product moment correlation coefficient between \(x\) and \(y\).
- Write down the value of the product moment correlation coefficient between \(p\) and \(q\).
- Give an interpretation of this value.