Table 5.
Multiple linear stepwise regression analysis with FLSCas the dependent variable
Regression coefficient | Model | |||
---|---|---|---|---|
β | p value | R2 | p | |
Model 1 | 0.59 | <0.001 | ||
CSANN | 1.084 | <0.001 | ||
SMNN | −0.621 | <0.001 | ||
SMIT | 0.224 | <0.01 | ||
Model 2 | 0.625 | <0.001 | ||
CSANN | 0.999 | <0.001 | ||
SMNN | −0.573 | <0.001 | ||
Age | −0.218 | <0.001 | ||
SMIT | 0.205 | <0.01 | ||
Model 3 | 0.549 | <0.001 | ||
CSANN | 0.704 | <0.001 | ||
SMIT | 0.333 | <0.001 | ||
SMNN | −0.292 | <0.001 | ||
Model 4 | 0.586 | <0.001 | ||
CSANN | 0.692 | <0.001 | ||
SMIT | 0.239 | <0.001 | ||
SMNN | −0.317 | <0.001 | ||
Age | −0.152 | <0.01 | ||
Height | 0.116 | <0.05 |