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if there are 3 numerical predictors and one categorical variable with 4 levels, how many models with interactions do we have to consider to find the one with the lowest aic?

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tutorconsortium644

By using Akaike Information Criterion(AIC) to compare various models , We need to consider 16 models to find the one with lowest AIC.

What do you mean by statistics?

The study of statistics focuses on gathering, organizing, organizing, analyzing, interpreting, and presenting data.

What is AIC and it's formula?

A mathematical tool for assessing how well a model matches the data it was derived from is the Akaike information criterion (AIC).

It's formula is:

AIC=2k-2ln(L)

predictors=independent variables=3

k=independent variables+1=4

Categorical variable= 4 levels

Total number of models to be considered = 4 * 4 =16

Since, Every layer (characteristics of variable) must interact with the predictors variable to calculate AIC and find the lowest one.

To learn more about AIC visit:

https://brainly.com/question/22238859

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