Hi,
I am working on a dataset of 1000 students.
I standardised my data and I am now doing linear regressions on it.
I created some indexes and I now use them as my Y in the regression.
I wonder if the following situation is correct :
In one of my models, my constant is -.143 and highly significant (p < .001)
I asked in my questionnaire if my adult students did get financial support
of their employer (yes/no). In my regression, the beta is .361 and is
also highly significant. BUT, I also asked in which year they left
fulltime daytime education, this beta is .415 and is only medium
significant (p < .010). Is this possible? The beta in the second item is
higher, but less significant...
Can someone explain if this is normal ?
Thanks!
Ellen
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