3.Write an equation of best fit for the given data.

To find the line of best fit we follow this steps:
1. Calculate the mean of the x -values and the mean of the y -values
[tex]\begin{gathered} \bar{X}=\frac{49.9+48.6+46.3+45.8+44.3+43.6}{8} \\ \\ \Rightarrow\bar{X}=34.8125 \end{gathered}[/tex][tex]\begin{gathered} \bar{Y}=\frac{177.5+174.6+165.6+164.7+165.3+164.6+155.8+156.7}{8} \\ \\ \Rightarrow\bar{Y}=165.6 \end{gathered}[/tex]2. The following formula gives the slope of the line of best fit:
[tex]\begin{gathered} m=\frac{\sum ^n_{i\mathop=1}(x_i-\bar{X})(y_i-\bar{Y})}{\sum ^n_{i\mathop{=}1}(x_i-\bar{X})^2} \\ \\ \end{gathered}[/tex]In our case, such computation will yield as a result:
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