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. 2016 Jul 9;6(6):404–409. doi: 10.1016/j.jpha.2016.07.001

Table 1.

Regression equations of lines.

Lines Equation r2 RSS MS F P
Line 1 Y1=0.33615X1+0.15824 0.9923 0.0004 0.0498 2057.1034 0.0000
Line 2 Y2=0.01938X2+0.92814 0.9611 0.0007 0.0192 396.5566 0.0000
Line 3 Y3=0.01187X3+0.98486 0.9666 0.0001 0.0019 261.4822 0.0000
Line 4 Y4=0.23827X4−1.46061 0.9951 0.0009 0.1952 4439.3698 0.0000
Line 5 Y5=0.92394X5−9.68352 0.9960 0.0008 0.2208 3726.1033 0.0000

RSS: residual sum of squares; MS: mean square; F: F value. P: p-value.