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S4E19 The Dark Art of Regression Diagnostics

Quantitude

CHAPTER

Linearity in the Parameters

Linearity. I don't actually mean linearity in the relation between x and y. What I mean is lineary in the parameters. Your intercept slope one, slope two, slope three enter linearly. They are all next to something and then they're all summed up. But the something that they're next to technically doesn't matter. Regression doesn't care because it is linear in the parameters,. not linear in the relationBetween the variables in the outcome. All right, I'm going to do the next one. Okay. Our predictor variable x is fixed and known. It means we have a leading edge of the sword and a trailing edge of the Sword. The leading edge of

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