It compares linear regression lines using the method explained in Chapter 18 of J Zar, Biostatistical Analysis , 2nd edition, Prentice-Hall, 1984. Prism compares slopes first. If the P value is less than 0.05, Prism concludes that the lines are significantly different. In that case, there is no point in comparing the intercepts. Now the question is whether the lines are parallel or identical.
Prism calculates a second P value testing the null hypothesis that the lines are identical.
If this second P value is high, there is no compelling evidence that the lines are different. Standard Curve To read unknown values from a standard curve, you must enter unpaired X or Y values below the X and Y values for the standard curve. X values for all unpaired Y values and places these on new output views. How to think about the results of linear regression Your approach to linear regression will depend on your goals. If your goal is to analyze a standard curve, you won't be very interested in most of the results.