Answer:
b. other than 1
Explanation:
Nonlinear models are called that way because they are not linear in parameters. In order for this nonlinear characteristic to exist, the exponents of the parameters must be any number other than 1.
While linear models can have a nonlinear relationship between the predictors and independent variables. But when you analyze the mean (predictor), it must be linear with the parameters.
Not the place to be asking but at this point they are pretty well known.
Answer:
Kofi aka Da Flex
Explanation:
Not sure but i think this might be the answer