A Hypercoagulable Hematological Metastasis Breast Cancer Model

Table 1

The multiple linear regression model was constructed with the TBP and PIP to predict lung metastasis.

	Model^a (p value)	Model^b
ANOVA(F)	15.682 (≤0.001)	8.413 (0.008)
Constant	3.303 (0.017)	145.197 (≤0.001)
PIP coefficients	0.14 (≤0.001)	5.222 (0.008)
TBP coefficients	0.147 (0.10)
Adjusted R Square	0.561	0.244
Durbin-Watson	1.494	1.926
Std. Residual	-1.594~2.759	-1.028~3.312

a Predictors: (Constant), PIP, TBP; Dependent Variable: log₁₀^(Flux). b Predictors: (Constant), PIP; Dependent Variable: lung weight.