Dear all,
I am doing a binary logisitic regression with the dependent variable of happiness (happy=1, unhappy=2) for the year 1981 for the country Belgium.
where X047 is the income_scale, X028 is the employment status, X011 is the number of children.
My variable of interest /main predictor is X047 and doing this regression, the results are significant (number of observations is 835)
When I add the variable of marital stauts (which has 6 categories), my results for X047 become insignificant.
How do i have to interpret this?
Even if I would do it for all the countries in year 1981, what would this mean, if the adding of a control changes the results?
Thanks so much for any help.
Kind regards,
Olivia
I am doing a binary logisitic regression with the dependent variable of happiness (happy=1, unhappy=2) for the year 1981 for the country Belgium.
logit A170 i.X047 i.sex i.X028 age i.X011, or
My variable of interest /main predictor is X047 and doing this regression, the results are significant (number of observations is 835)
When I add the variable of marital stauts (which has 6 categories), my results for X047 become insignificant.
How do i have to interpret this?
Even if I would do it for all the countries in year 1981, what would this mean, if the adding of a control changes the results?
Thanks so much for any help.
Kind regards,
Olivia
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