# Introduction This challenge explores linear regression fitting and plotting using Python. The objective is to fit a given set of data points using linear regression and plot the resulting graph. The values of the coefficient and intercept will be calculated and returned with two decimal places. The matplotlib library will be used to create a scatter plot and draw the fitting line based on the calculated parameters.
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