In Forward Selection a variable is added to the model if its p-value is greater
ID: 3313930 • Letter: I
Question
In Forward Selection a variable is added to the model if its p-value is greater than alpha.
True
False
We have collected 5 independent variables, (X1, X2, X3, X4, and X5). We wish to use Backward Elimination to determine the optimal subset of variables to use. When performing Backward Elimination, what model do we start with?
Y = 0 + 1X1 + 2X2 + 3X3 + 4X4 + 5X5 +
Y = 0 + 1X1 +
Y =
Y = 0 +
The assumption of normality is considered valid if the normal probability plot
Has no obvious pattern, it is random scatter
Has an obvious curve pattern
Has a linear pattern
Has a bell-curve
Explanation / Answer
In Forward Selection a variable is added to the model if its p-value is greater than alpha.
Answer: False
We have collected 5 independent variables, (X1, X2, X3, X4, and X5). We wish to use Backward Elimination to determine the optimal subset of variables to use. When performing Backward Elimination, what model do we start with?
Answer: Y = 0 + 1X1 + 2X2 + 3X3 + 4X4 + 5X5 +
The assumption of normality is considered valid if the normal probability plot
Answer: Has a linear pattern
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