Table 4.
Multiple linear regression analyses with baseline circulating omentin-1 as dependent variable before weight loss
All subjects | Men | Women | ||||
---|---|---|---|---|---|---|
Beta | P | Beta | p | Beta | p | |
Sex | -2.76 | 0.01 | --- | --- | ||
Body Mass Index (kg/m2) | -2.74 | 0.01 | -2.3 | 0.038 | -2.9 | 0.01 |
Fasting insulin (mU/l) | -0.27 | 0.8 | 0.09 | 0.9 | -0.71 | 0.5 |
Adjusted R Square | 0.39 | 0.28 | 0.36 |
Beta is the standardized regression coefficient, which allows evaluating the relative significance of the each independent variable in multiple linear regression analyses.
Adjusted R square express the percentage of the variance explained by the independent variables in the different models (i.e., 0.50 is 50%).