I'm wanting to calculate the level of power achieved in a logistic regression analysis in G*Power using alpha of .05 and two-tailed test. My research question was looking at whether scores on an IAT (IV1 - normal distribution) could predict insufficient or sufficient levels of exercise engagement (binary DV), over and above 2 explicit measures of motivation (IV2; IV3 - negative skews) and whether this relationship was moderated by another variable (Mod - normal distribution; including the interaction term in the analysis). Total number of covariates in the analysis was 6 (including the interaction term).
With a sample size of N = 99, I found the model was a significant fit 𝜒²(6, N = 99) = 23.85, p < .001, correctly classifying 82.8% of cases. But only IV2 was a significant predictor (OR = 2.55, 95% CI 1.07-6.07). How can I determine and report whether or not I had sufficient power in this test?