To create a linear regression model that calculates the predicted price of a house when we know its size, age, number of special features, and its distance from the nearest train tracks, we can create a linear regression model where the Y$-$variable is PRICE and the X$-$variable$($s$)$ is$/$are:

$($If the model that answers this question requires more than one X$-$variable, then select ALL X$-$variables that must be included in this model.$)$

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a

SIZE

b

TAX

c

SPEC.FEATS

d

AGE

e

TRAIN.DIST