**Lecture 14 Simple Linear Regression Ordinary Least …**
https://www2.stat.duke.edu/~hc95/Teaching/STA103/lec14_notes.pdf

WebOLS and Transformation If we center the predictor, X~ i = X i X , then X~ i has mean zero. Therefore, P^ = Y ^ = P~ X i(Y i Y ) X~2 i: By horizontally shifting the value of X i, note that = , but the intercept changed to the overall average of Y i Consider the linear transformation Z i = a+ bX i with Z = a+ bX . Consider the linear model

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