Step 1 :An experiment is run. The mass of an object is recorded over time. The data is as follows: \n\n\begin{tabular}{|c|c|}\n\hline Time (min) & Mass (g) \\ \hline 19 & 40 \\ \hline 28 & 34 \\ \hline 29 & 27 \\ \hline 40 & 26 \\ \hline 46 & 22 \\ \hline\end{tabular}
Step 2 :Plot the points in the grid below.
Step 3 :Using your calculator, run a linear regression to determine the equation of the line of best fit. Round to two decimal places, use \(x\) for the variable.
Step 4 :Create two lists, one for time and one for mass. Use these lists to perform a linear regression.
Step 5 :Time = [19, 28, 29, 40, 46] and Mass = [40, 34, 27, 26, 22]
Step 6 :The slope of the line of best fit is -0.62 and the intercept is 49.86.
Step 7 :The equation of the line of best fit is \(y = -0.62x + 49.86\). This equation can be used to predict the mass of the object at any given time.
Step 8 :Final Answer: The equation of the line of best fit is \(\boxed{y = -0.62x + 49.86}\).