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Suppose you are provided the following table of data and asked to use linear regression techniques to fit a least squares linear regression model

Suppose you are provided the following table of data and asked to use linear regression techniques to fit a least squares linear regression model to the data. x1 0 0 1 1 x2 1 2 1 2 y 3 4 6 9 What are the terms (vectors and matrices) required to solve this problem? What equation must be solved? Note that the mathematical form of the desired model is: yao+ae + a2x2

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