Maithili Shiva wrote:
Hi,
I have the response variable 'Y' and four predictors say X1, X2, X3 and X4.
Assuming all the assmptions like Y follows normal distribution etc. hold and I
want to run linear multiple regression. How do I run the stepwise regression
(forward as well as the backward regression).
From other software (i.e. minitab), I know only X1 and X2 are significant so my
regression equation should be Y = constant + (b1) X1 + (b2) X2.
Knowing that only X1 and X2 are "insignificant" does not mean you know
that b3=b4=0, so why are you deleting X3 and X4 from the model?
Frank
I am not sure whether I am using the correct R commands, which are as follows -
library (wle)
ONS <- mle.stepwise(Y ~ X1+X2+X3+X4, data=ONS)
summary(ONS)
The output looks something like this
OUTPUT
Forward selection procedure
F.in: 4
Last 3 iterations:
(Intercept) X1 X2 X3 X4
[1,] 1 0 0 0 1 15.57
[2,] 1 1 0 0 1 14.80
[3,] 1 1 1 0 1 61.56
I am not able to interpret this outcome as well.
Please guide.
With regards
Maithili
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