Linear Regression, Data Science, Modeling, Ordinary Least Square, Regression.
creating an upward facing parabola. We then solve for the values of beta where the derivative of our SSQ is 0, indicating an inflection point. The beta coefficients at this inflection point are guaranteed to minimize the squared error. After building this model, we can interpret the coefficients as