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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 />

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