Question

1. In Forward Selection a variable is added to the model if its p-value is greater than alpha. a) True b) False 2. We have collected 5 independent variables, (X1, X2, X3, X4, and Xs). 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? a) Y = βο + βιXI + β2Χ2 + β3Χ3 + β4Χ4 + βsXς +ε b) Y = βο + βιXI +ε c) Y = { d) Y = Bo + € 3. The assumption of normality is considered valid if the normal probability plot a) Has no obvious pattern, it is random scatter b) Has an obvious curve pattern c) Has a linear pattern d) Has a bell-curve 4. In Forward Selection once a variable has been added to the model at one step, it can be removed from the model in a later step. a) True b) False 5. The first step of a Stepwise Selection procedure is given below. If a-enter = 0.15, what variable should be added to the model at this step? Variable P-value X 0.023 X2 0.001 X3 0.470 a) Xi b) X2 c) X3 d) No variables should be added

Answer 1

1)
false, it is added when p-value < alpha

2)
All the independent variables are entered into the equation first and each one is deleted one at a time if they do not contribute to the regression equation.

option A) is correct

3)

option C) Has a linear pattern

4)
False

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