Table 4.

Table 4 Tobit Model Results Using MaxCombs for the Three Canadian Regions and Validation Accuracy Expressed in Terms of the Prediction Error and Relative Prediction Error

MaxCombs Prediction Model (Western)
Pseudo-R2		0.9
Intercept		7.4; p < 0.0001
Log (MaxCombs) parameter est.		0.4; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−2,175	Trimmed mean	−0.012
Median	−1,325	Median	−0.016
MaxCombs Prediction Model (Central)
Pseudo-R2		0.9
Intercept		7.3; p < 0.0001
Log (MaxCombs) parameter est.		0.4; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−2,472	Trimmed mean	−0.0002
Median	−1,156	Median	−0.013
MaxCombs Prediction Model (Eastern)
Pseudo-R2		0.9
Intercept		7.6; p < 0.0001
Log (MaxCombs) parameter est.		0.3; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−920	Trimmed mean	−0.007
Median	−445	Median	−0.015