To give you some background, my thesis is looking at the relationship between 3 basic psychological needs (competence, autonomy, and relatedness) to 3 emotion regulation (ER) strategies (concealing, adjusting and tolerating). I have concluded with my supervisors that 3 multiple regression tests would be appropriate, where for each one there would be a different ER strategy as a predictor, and the psychological needs as regressors.
I have conducted the multiple regressions for each predictor, however, am confused by the SPSS outputs.
For my first test, for Concealing, my F-statistic is significant, (p = 0.000), however, 2 of the 3 predictors' T-tests are quite insignificant (p = 0.384, p = 0.618).
How can this be possible, if the F test shows that the model is powerful in predicting the outcomes, but the T-tests say otherwise? I thought that this could be due to multicollinearity, however, the VIF's are below 10.
When I do the test for the second ER strategy, none of the predictors are significant however the F-statistic still is, and VIFs are below 10. For the third ER strategy, tolerating, both the F-statistic and predictors are insignificant.
Attached are screenshots of what I am speaking about. Does this all simply mean my data doesn't explain anything? Or have I misinterpreted something?
I hope this makes sense and would really appreciate any guidance! Stats is not really my thing :)