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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Simple linear regression with a binary predictor

One of the coolest things about linear regression is that we are not limited to using predictor variables that are continuous. For example, in the last section, we used the continuous variable wt (weight) to predict miles per gallon. But linear models are adaptable to using categorical variables, like am (automatic or manual transmission) as well.

Normally, in the simple linear regression equation Simple linear regression with a binary predictor, Simple linear regression with a binary predictor will hold the actual value of the predictor variable. In the case of a simple linear regression with ...

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