A doctors' surgery starts a campaign to reduce missed appointments.
The number of missed appointments for each of the first five weeks after the start of the campaign is shown below.
| Number of weeks after the start (\(x\)) | 1 | 2 | 3 | 4 | 5 |
| Number of missed appointments (\(y\)) | 235 | 149 | 99 | 59 | 38 |
This data could be modelled by an equation of the form \(y = pq^x\) where \(p\) and \(q\) are constants.
- Show that this relationship may be expressed in the form \(\log_{10} y = mx + c\), expressing \(m\) and \(c\) in terms of \(p\) and/or \(q\). [2]
The diagram below shows \(\log_{10} y\) plotted against \(x\), for the given data.
\includegraphics{figure_5}
- Estimate the values of \(p\) and \(q\). [3]
- Use the model to predict when the number of missed appointments will fall below 20.
Explain why this answer may not be reliable. [2]