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Screenshot of part 1 is attached, no screenshots available for part 2. Part 1 - (a) Find the least squares equation for a simple linear
Screenshot of part 1 is attached, no screenshots available for part 2.
Part 1 - (a) Find the least squares equation for a simple linear regression model.
Part 1 - (b) Obtain the partial derivatives for beta0hat and beta1hat in a simple linear regression model.
Part 2. How would this translate over to a multiple linear regression equation? e.g. how would I find the least squares for an MLR model and which partial derivatives would I have to obtain and how?
Hope this makes sense, any assistance would be much appreciated :)
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