Table 2.

Level of significance when one agent was tested against another using multiple linear regression to find the best fit for a number of parallel lines to the data

	F6H8	A	B	C
F6H8		p<0.0001	p<0.0001	p<0.0001
A	p<0.0001		p<0.0001
B	p<0.0001	p<0.0001		p = 0.7
C	p<0.0001	p<0.0001	p = 0.7

The equation for best fit for the F₆H₈ plot is given as: height = (slope × volume − F₆H₈) + intercept.

Similar equation for each of the solutions A, B, and C were found and as the lines are parallel, the slopes are the same, but the intercepts are different. SPSS output gives 95% confidence intervals for difference between the intercepts for F₆H₈ and each of the solutions and the p value for this difference.