Simple Linear Regression with Matrix Notation

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We learn how to write our regression equation with matrices, talk about the dimensions of the matrices X, demonstrate the matrix multiplication involved in finding E(Yi), and define the estimator for beta using matrix notation.
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A small correction. At 2:08, it should be n rows and 2 columns - a (n * 2) matrix. It's written correctly, however.

Sandeep-gtrp
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Professor, I have a question. If I have a model with Y=beta0+beta1(X1-X1 bar)+ E where E~N(0, sigma^2). Does mean of error = 0 will also make 0 on X1 bar in the parameter estimation beta_hat?

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