To find the residual of the data point (6, 7.82), we first need to calculate the predicted height (y) using the line of best fit equation \(y = 0.23x + 9.9\) for day 6 (where \(x = 6\)).
- Substitute \(x = 6\) into the equation:
\[ y = 0.23(6) + 9.9 \]
\[ y = 1.38 + 9.9 = 11.28 \]
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The predicted height for day 6 is 11.28.
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The actual height given is 7.82.
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The residual is calculated as follows:
\[ \text{Residual} = \text{Actual Value} - \text{Predicted Value} \]
\[ \text{Residual} = 7.82 - 11.28 = -3.46 \]
Therefore, the residual of the data point (6, 7.82) is \(-3.46\).