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Agronomy Journal Abstract -

Relationship between Number of Independent Variables and Number of Observations in Plant Analysis Calibration Studies1


This article in AJ

  1. Vol. 61 No. 2, p. 322-323
    Received: July 20, 1968

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  1. W. M. Walker,
  2. S. G. Carmer and
  3. T. R. Peck2



Data were presented indicating that the number of data points in plant analysis calibration studies should be 5 to 10 times as large as the number of potential variables in the regression model. This criterion was valid for the quadratic polynomial and the square root transformation of the quadratic polynomial in these studies. This kind of information should assist researchers in planning the number of plant samples to be obtained for calibration studies after a regression model has been selected.

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