Dear all,

I found that my model prob>chi2 is not significant (0,27). The purpose of my study is to find the relation between the interaction variable and my dependent variable.

Code:
. logit briedu kis##edu age gender urban education business employment value religius1 $controls[pw = BOT_NAS_JBR_JTG], robust nolog
Logistic regression Number of obs = 778
Wald chi2(11) = 13.29
Prob > chi2 = 0.2747
Log pseudolikelihood = -152.1861 Pseudo R2 = 0.0334
Robust
briedu Coef. Std. Err. z P>z [95% Conf. Interval]
1.kis .1149079 .3068558 0.37 0.708 -.4865184 .7163343
1.edu 1.095056 .6147318 1.78 0.075 -.1097966 2.299908
kis#edu
1 1 -1.011685 1.228102 -0.82 0.410 -3.418721 1.395352
age -.026757 .0151822 -1.76 0.078 -.0565136 .0029996
gender -.2006767 .3634839 -0.55 0.581 -.9130922 .5117387
urban .0471323 .3164125 0.15 0.882 -.5730249 .6672895
education .04647 .1658182 0.28 0.779 -.2785276 .3714676
business .4497326 .4321611 1.04 0.298 -.3972876 1.296753
employment -.0773021 .4214165 -0.18 0.854 -.9032633 .7486591
value -.4337076 .3170597 -1.37 0.171 -1.055133 .187718
religius1 -.2829598 .2103322 -1.35 0.179 -.6952034 .1292838
_cons -.0085307 .8841085 -0.01 0.992 -1.741352 1.72429
The one that I found confusing is I have several variables that significant in the model. Thus I want to ask can I use this model in my research and just explain the variable that significant?

Can someone explain to me the usual reason why this happens?

Really grateful for your enlightenment on this matter.