python（第十四周作业）

Part 1

For each of the four datasets...

  • Compute the mean and variance of both x and y

  • Compute the correlation coefficient between x and y

  • Compute the linear regression line: y=β0+β1x+ϵy=β0+β1x+ϵ (hint: use statsmodels and look at the Statsmodels notebook)




Part 2

Using Seaborn, visualize all four datasets.

hint: use sns.FacetGrid combined with plt.scatter







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