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Statistical criteria for curve fitting

The differences between corresponding elements in ordered sets (vectors) in, for example, columns 2 and 3 of output 3-4 give an ordered set of residuals. In this example, the residual for the first data point is 0.2256 — 0.2255161 = 8.39 x 10 . SSE is sometimes written [Pg.69]

The sum of squares of differences between points on the regression line yi at Xi and the arithmetic mean y is called SSR [Pg.70]

To reconcile this notation with the output from TableCurve, note that [Pg.70]

making only the change in notation of SSM for SST to indicate the total deviation from the mean and changing from upper to lower case r, we have [Pg.70]


See other pages where Statistical criteria for curve fitting is mentioned: [Pg.69]   
See also in sourсe #XX -- [ Pg.69 ]




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Curve fitting

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