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SOLVED: 4 Consider the normal linear regression model in matrix form: Y Nn (XB.o?n) The hat matrix H is defined as H = X(X'X)-Ix' (2) since it rcpresents the lincar transformation from
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![L2] Linear Regression (Multivariate). Cost Function. Hypothesis. Gradient](https://humanunsupervised.github.io/humanunsupervised.com/topics/images/lesson2/04.png "L2] Linear Regression (Multivariate). Cost Function. Hypothesis. Gradient")
L2] Linear Regression (Multivariate). Cost Function. Hypothesis. Gradient
