I hypothesized that Depths, Hs (wave height), and PAR are the most controlling factors based on the Pearson correlation matrix (which showed the greatest correlation with the coral cover). However, when the analysis was done, and showed the model regression equation, the coefficient of SST (sea surface temperature) showed the highest value of coefficient. I was thinking that if you get the highest value for the coefficient, it means that it has the greatest contribution in predicting the Y variable.

Moreover, the variable importance in the prediction (VIP) results, it supported my hypothesis, where depths, Hs, and PAR are the most controlling factor.

So Im a bit confused with the difference of the results, and interpreting this.

I attached the pictures here:

correlation matrix: http://prntscr.com/46i0o3

variable of importance: http://prntscr.com/46i0zi

model equation: http://prntscr.com/46i13p

Thank you very much in advance! It will be great help really, im finishing my analysis for my manuscript, and getting a bit desperate already ;-(