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Part A - Use the least-squared regression to fit a straight line to the dataset below. Compute: The
slope, intercept, coefficient of determination (2), and standard error of the estimate (S4) Part B -
Solve the problem above (except the standard error of the estimate (S0 ) using Python's function
"scipy.stats.linregress". Plot the data points and the best-fit line using Python. Submit
screenshots of your py code and the output.

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