Question
a.
Additive response models don’t make much sense if the response is discrete, or strictly positive
b.
Transformations are often easy to interpret in linear model
c.
Regression models are used to predict one variable from one or more other variables
d.
All of the mentioned
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Q. Point out the wrong statement.
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