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Revisiting linear regression to test agreement in continuous predicted-observed datasets

Author

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  • Correndo, Adrian A.
  • Hefley, Trevor J.
  • Holzworth, Dean P.
  • Ciampitti, Ignacio A.

Abstract

In agricultural research and related disciplines, using a scatter plot and a regression line to visually and quantitatively assess agreement between model predictions and observed values is an extensively adopted approach, even more within the simulation modeling community. However, linear model fit, use, and interpretation are still controversial in the literature.

Suggested Citation

  • Correndo, Adrian A. & Hefley, Trevor J. & Holzworth, Dean P. & Ciampitti, Ignacio A., 2021. "Revisiting linear regression to test agreement in continuous predicted-observed datasets," Agricultural Systems, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:agisys:v:192:y:2021:i:c:s0308521x21001475
    DOI: 10.1016/j.agsy.2021.103194
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    References listed on IDEAS

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