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Fragment of a discussion from Course talk:CPSC312-2017-Linear Regression
Our objective function will be: predict(x_hat, X, ANS) -- so it will take the dataset X and make a linear regression model and use that model to predict x_hat. If we have time, we will add in least squares error.