regression allows us to estimate the parameters of a linear model. The goal of this method is to determine the linear model that minimizes the sum of the squared errors between the observations in a dataset and those predicted by the model. Explore the OLS method through the four infamous datasets contained in <a href="https://en.wikipedia.org/wiki/Anscombe%27s_quartet">Anscombe's Quartet</a>.</p>
                    <p>Choose one of the quartets to investigate.</p>
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