The Principal of a school believes that more students are absent on days when the temperature is lower. Over a two-week period in December she records the percentage of students who are absent, \(A\%\), and the temperature, \(T°\)C, at 9 am each morning giving these results.
| \(T\) (°C) | 4 | \(-3\) | \(-2\) | \(-6\) | 0 | 3 | 7 | \(-1\) | 3 | 2 |
| \(A\) (\%) | 8.5 | 14.1 | 17.0 | 20.3 | 17.9 | 15.5 | 12.4 | 12.8 | 13.7 | 11.6 |
- Represent these data on a scatter diagram. [4 marks]
You may use
$$\Sigma T = 7, \quad \Sigma A = 143.8, \quad \Sigma T^2 = 137, \quad \Sigma A^2 = 2172.66, \quad \Sigma TA = 20.7$$
- Calculate the product moment correlation coefficient for these data and comment on the Principal's hypothesis. [6 marks]
- Find an equation of the regression line of \(A\) on \(T\) in the form \(A = p + qT\). [4 marks]
- Draw the regression line on your scatter diagram. [2 marks]