Ultrospec 2100 pro User Manual
Ultrospec 2100 pro User Manual
Ultrospec 2100 pro User Manual
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Least squares regression analysis and linearity<br />
The slope (or best straight line) and intercept in a kinetics assay or standard curve<br />
determination is calculated from a least squares linear regression of the data. The<br />
following equations are used, where n is the number of data points:<br />
Slope<br />
=<br />
∑<br />
∑<br />
∑ ∑<br />
∑ ∑<br />
x y−n xy<br />
x x−n 2<br />
x<br />
( )<br />
∑ ∑ * /<br />
Intercept = y − x slope n<br />
Linearity is an estimate of the “goodness of fit” of the least squares linear<br />
regression analysis, a perfect fit being 100%. It is used in both the Reaction Rate<br />
and Standard Curve modes, and is expressed by a coefficient of determination (r 2 ),<br />
calculated using the following equation:<br />
Quality<br />
= 100*<br />
∑ x∑<br />
y − n∑<br />
2<br />
2<br />
( ∑ x)<br />
− n∑<br />
x )( ∑ y)<br />
2<br />
2<br />
( − n y )<br />
___________________________________________________________________<br />
26 <strong>Ultrospec</strong> <strong>2100</strong> <strong>pro</strong>, English Issue 06 - 12/2003<br />
xy<br />
∑