Research Article

Hybrid Soft Computing Schemes for the Prediction of Import Demand of Crude Oil in Taiwan

Table 2

Pearson correlations for pairs of variables.


1.00
0.971.00
0.990.961.00
0.310.270.321.00
0.290.260.300.001.00
0.990.980.990.310.351.00
0.330.450.31−0.020.130.371.00
0.990.960.990.320.300.990.301.00
0.990.950.990.340.380.990.300.991.00
0.920.900.910.090.160.890.430.910.871.00
0.810.850.790.040.160.800.550.790.750.941.00
0.970.990.960.270.260.980.450.960.950.900.851.00
0.190.180.210.45−0.020.20−0.490.220.23−0.13−0.260.181.00
0.900.860.890.130.400.890.570.890.880.920.860.86−0.221.00
0.990.920.990.310.380.970.250.990.990.890.760.920.170.891.00
0.980.930.980.300.390.980.270.980.990.900.770.930.150.911.001.00
0.980.930.980.300.380.980.250.990.990.890.770.920.160.901.001.001.00
0.110.240.09−0.24−0.310.110.750.080.000.370.540.24−0.530.30−0.02−0.01−0.02 1.00
−0.09−0.22−0.070.250.34−0.08−0.72−0.060.02−0.35−0.52−0.220.53−0.270.050.030.05−1.00 1.00
0.960.910.960.250.440.950.380.960.960.910.830.91−0.010.950.980.980.980.07−0.05 1.00
0.980.920.980.270.330.960.340.980.960.940.820.920.070.930.980.980.980.12−0.100.98 1.00
0.980.930.980.270.380.980.250.980.990.880.750.930.200.880.990.990.99−0.010.040.960.97 1.00
0.990.940.990.350.350.980.300.990.990.910.800.940.160.900.990.990.990.06−0.030.970.980.98 1.00
0.910.840.920.190.410.900.060.920.920.810.680.840.230.820.940.940.94−0.130.150.900.900.950.931.00