This document provides instructions to analyze a dataset with a single feature x and true labels y in a table. The tasks are to: 1) plot the data in a scatterplot; 2) find the updated slope m and intercept c of the average line after the 2nd iteration using a learning rate of 0.01 and minimizing MSE; 3) find the final predicted y-hat values after the 2nd iteration; and 4) compute the RMSE between the final predictions and true labels, showing all work.