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. 2014 Mar 21;13:111. doi: 10.1186/1475-2875-13-111

Table 3.

The results of the linear regression analysis shown in Figure 5

Parameter x y Rooted
 Unrooted
m p-val r 2 m p-val b p-val r 2
All (HBR)
 LT
 HLC
 0.36
 <0.001
 0.85
 0.34
 <0.001
 1.60
 0.160
 0.81
LT
 KDC&ET
 0.31
 <0.001
 0.75
 0.29
 <0.001
 1.40
 0.320
 0.69
HLC
 KDC&ET
 0.79
 <0.001
 0.73
 0.76
 <0.001
 0.79
 0.597
 0.66
HLC
 ET
 0.43
 <0.001
 0.82
 0.42
 <0.001
 0.32
 0.616
 0.77
HLC
 KDC
 0.36
 <0.001
 0.56
 0.34
 <0.001
 0.48
 0.634
 0.47
Tororo (PfEIR) LT
 HLC
 0.34
 <0.001
 0.76
 0.22
 0.025
 0.19
 0.093
 0.41
LT
 KDC&ET
 0.46
 <0.001
 0.87
 0.43
 0.001
 0.06
 0.618
 0.70
HLC
 KDC&ET
 1.10
 <0.001
 0.80
 1.10
 0.009
 0.04
 0.811
 0.52
HLC
 ET
 0.55
 <0.001
 0.77
 0.57
 0.009
 -0.02
 0.862
 0.52
HLC KDC 0.68 <0.001 0.74 0.53 0.039 0.08 0.461 0.36

The results give the slopes (m), intecepts (b), p-values and r2 values for the rooted and unrooted linear analysis. The r2 values suggest very good correlations among all metrics, though the slopes are generally not close to one, suggesting all methods are biased relative to one another.