Linear fit in log space | schen19 | 2021-06-08 | |||||||||||||||||||||||||||||||||

Dear Skyline team, I have a question about the Linear in Log Space regression fit in Skyline. My initial understanding is that the equation of the calibration curve using this fit is Log(Y) = slope*Log(X) + Y-intercept (Y is RatioLightToHeavy, X is Analyte Concentration). However, when I tried to use this equation to calculate X from Y using this equation, the result does not agree with the Calculated Concentration, which is the quantification value given directly by Skyline. I tried to do a similar regression fit (Log-transformed both X and Y, then do a linear regression fit) in another software and it gives the same slope but different intercept. When using the slope and intercept given by that software and the Log(Y) = slope*Log(X) + Y-intercept equation, I get the same quant value as the Calculated Concentration given by Skyline. Based on this observation, the problem seems to be related to the Y-intercept value given by Skyline. I am trying to understand what equation is Skyline using for the Linear in Log Space regression fit. Could you provide some guidance on that? Thank you, |
|||||||||||||||||||||||||||||||||||

| |||||||||||||||||||||||||||||||||||