The following table shows the data collected from an experiment.
| \(x\) | \(3.3\) | \(6.9\) | \(11.9\) | \(13.4\) | \(17.8\) | \(19.6\) | \(21.8\) | \(25.3\) |
|---|---|---|---|---|---|---|---|---|
| \(y\) | \(6.3\) | \(8.1\) | \(8.4\) | \(11.6\) | \(10.3\) | \(12.9\) | \(13.1\) | \(17.3\) |
The data is also represented on the following scatter diagram.
The relationship between \(x\) and \(y\) can be modelled by the regression line of \(y\) on \(x\) with equation \(y = ax + b\), where \(a, b \in \mathbb{R}\).
Write down the value of \(a\) and the value of \(b\).
[2]Use this model to predict the value of \(y\) when \(x = 18\).
[2]Write down the value of \(\bar{x}\) and the value of \(\bar{y}\).
[1]Draw the line of best fit on the scatter diagram.
[2]Need help? Join our JC Math tuition classes.
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