6 [Figure 1, printed on the insert, is provided for use in this question.]
For a random sample of 10 patients who underwent hip-replacement operations, records were kept of their ages, \(x\) years, and of the number of days, \(y\), following their operations before they were able to walk unaided safely.
| Patient | \(\mathbf { A }\) | \(\mathbf { B }\) | \(\mathbf { C }\) | \(\mathbf { D }\) | \(\mathbf { E }\) | \(\mathbf { F }\) | \(\mathbf { G }\) | \(\mathbf { H }\) | \(\mathbf { I }\) | \(\mathbf { J }\) |
| \(\boldsymbol { x }\) | 55 | 51 | 62 | 66 | 72 | 59 | 78 | 55 | 62 | 70 |
| \(\boldsymbol { y }\) | 34 | 33 | 39 | 49 | 48 | 43 | 51 | 41 | 46 | 51 |
- On Figure 1, complete the scatter diagram for these data.
- Calculate the equation of the least squares regression line of \(y\) on \(x\).
- Draw your regression line on Figure 1.
- In fact, patients H, I and J were males and the other 7 patients were females.
- Calculate the mean of the residuals for the 3 male patients.
- Hence estimate, for a male patient aged 65 years, the number of days following his hip-replacement operation before he is able to walk unaided safely.