Predicting a Value using Linear Regression

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I got this question wrong on an exam, and I'm still struggling to see where the right inputs come from.

I'm fairly sure the equation necessary to solve it is

$$\hat{Y} = b_0 + b_1X_i$$

$$\text{where}$$

$$X_i = 85.650 $$

$$\text{It doesn't seem possible to solve for }b_1\text{ or }b_0 \text{ with the provided information so I thought this was probably provided as coefficient.}$$ However, I can't seem to arrive at an answer choice that's actually provided.

Can someone help me figure out what I'm missing? What does "Coefficients" mean in the heading of the exhibit?

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Usually we use the convention of$$\hat{Y}_i = b_0 \color{blue}{+}b_1 X_i$$

where $b_0$ is the intercept and $b_1$ is the coefficient of odometer.