An experiment is run. The mass of an object is recorded over time.
\begin{tabular}{|r|r|}
\hline Time (min) & Mass (g) \\
\hline 11 & 50 \\
\hline 15 & 46 \\
\hline 37 & 31 \\
\hline 47 & 18 \\
\hline 50 & 14 \\
\hline
\end{tabular}
Clear All Draw: Dot
Using your calculator, run a linear regression to determine the equation of the line best fit. Round to two decimal places, use $x$ for the variable.
$y=$
Answer
\(\boxed{y = -0.89x + 60.14}\)
Step 1 ：Given data points: \(\begin{tabular}{|r|r|} \hline Time (min) & Mass (g) \\ \hline 11 & 50 \\ \hline 15 & 46 \\ \hline 37 & 31 \\ \hline 47 & 18 \\ \hline 50 & 14 \\ \hline \end{tabular}\)
Step 2 ：Use linear regression to find the slope and y-intercept of the line of best fit.
Step 3 ：Calculate the slope (m) and y-intercept (b): \(m = -0.89\) and \(b = 60.14\)
Step 4 ：Write the equation in the form y = mx + b: \(y = -0.89x + 60.14\)
Step 5 ：\(\boxed{y = -0.89x + 60.14}\)
