Compute the Least-Squares Regression Line for Predicting the Temperature from the Chirp

Compute the least-squares regression line for predicting the temperature from the chirp rate.
-The common cricket can be used as a crude thermometer. The colder the temperature, the slower the rate of chirping. The table below shows the average chirp rate of a cricket at various temperatures. $\begin{array}{cc}\hline \begin{array}{c}\text { Chirp Rate } \\\text { (chirps/second) }\end{array} & \begin{array}{c}\text { Temperature } \\\left({ }^{\circ} \mathrm{F}\right) \end{array} \\\hline 3.8 & 71.2 \\2.3 & 52 \\2.2 & 48.9 \\1.1 & 34.5 \\1.5 & 53.8 \\1.2 & 42.9 \\\hline\end{array}$

A) $y \approx 11.09 + 28.18 x$
B) $y \approx 13.59 + 28.18 x$
C) $y \approx 28.18 + 11.09 x$
D) $y \approx 28.18 + 13.59 x$