Table 2.
Multiple linear regression analysis between KIDMED as well as lifestyle habits and a set of different variables.
Variables | KIDMED | Lifestyle Habits | ||||
---|---|---|---|---|---|---|
β | se | p-Value | β | se | p-Value | |
ISS | 0.375 | 0.206 | <0.001 | 0.432 | 0.039 | <0.001 |
Age | 0.140 | 0.194 | 0.170 | −0.087 | 0.037 | 0.373 |
Sex | 0.076 | 0.491 | 0.454 | 0.045 | 0.093 | 0.642 |
R = 0.388 | R2 = 0.151 | Adj R2 = 0.122 | R = 0.463 | R2 = 0.215 | Adj R2 = 0.188 |
For each variable, the linear regression coefficient (β), the standard error (se), adjusted R-squared (Adj R2), and the statistical significance (p-value) are reported.