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$\begin{array}{cc}\hline \begin{array}{c}\text { Chirp Rate } \\\text { (chirps/second) }\end{array} & \begin{array}{c}\text { Temperature } \\\left({ }^{\circ} \mathrm{F}\right)\end{array} \\\hline 2.9 & 61.4 \\2.0 & 55.5 \\3.8 & 77.5 \\2.5 & 58.8 \\1.7 & 53.4 \\1.6 & 52.6 \\\hline\end{array}$

The least-squares regression line for predicting the temperature from the chirp rate is $y = 34.0812 + 10.6698 x$ . Predict the temperature if the chirp rate is $3.6$ chirps per second.

A) $75 ^ { \circ } \mathrm { F }$

B) $72 { } ^ { \circ } \mathrm { F }$

C) $38 ^ { \circ } \mathrm { F }$

D) $76 ^ { \circ } \mathrm { F }$

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