Consider the following dataset with a single feature x, and corresp.pdf

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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.

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Consider the following "dataset" with a single feature x, and corresponding true label values y
are shown in the table below [16] a) Plot the data of y against x in a scatterplot [2] b) Find the
updated value of m and c up to the 2=nd iteration. [ Assume the avg line and its corresponding m
and c as the first iteration value. Assume that the learning rate =0.01. Use MSE as your cost
function here] [8] c) Find the final predicted value y hat for this dataset after 2nd iteration [3] d)
Compute the RMSE between the final predicted values obtained in (b) and true label values,
showing all work. [3]

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