Given:
The table and scatter plot shows the average monthly temperature,
And the equation of the line of best fit will be as follows:
![y=-0.9x+79.71](https://img.qammunity.org/2023/formulas/mathematics/college/hiv9c1xotcw5ratx98oi3emn48eiij9016.png)
We will find the value of (y) from the table and by the equation for the given values of (x)
First, when x = 34.9°
Observed heating monthly cost (from the table) = 67
Predicted heating monthly cost (from the equation) =
![-0.9(34.9)+79.71=48.3](https://img.qammunity.org/2023/formulas/mathematics/college/gojzjf7e6ml3trkp4cv75sdm7fecrdey2z.png)
Residual = 67 - 48.3 = 18.7
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Second, when x = 44.7°
Observed heating monthly cost (from the table) = 56.50
Predicted heating monthly cost (from the equation) =
![-0.9(44.7)+79.71=39.48](https://img.qammunity.org/2023/formulas/mathematics/college/nts8hv4k2bn18v0ngasj8nz8tnfd8j6q2q.png)
Residual = 56.50 - 39.48 = 17.02