Section 62 - Carbon Credits (Carbon Farming Initiative—Reforestation and Afforestation 2.0) Methodology Determination 2015 - Regression fitting

62Regression fitting

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62 Regression fitting

(1) A project proponent must undertake the processes specified in this section when conducting regression analyses for the purpose of developing allometric functions.

(2) An allometric function must not be used as part of an offsets project to which this determination applies unless the function has been derived by using regression analyses to relate predictor measures collected from biomass sample trees to biomass estimates obtained for the same set of biomass sample trees.

Allowable regression forms

(3) In cases where a project proponent uses either a single predictor measure or multiple predictor measures:

(a) data must not be transformed; and

(b) the weighted least squares method must be applied to estimate the line of best fit.

(4) In cases where a single predictor measure is used, linear or non‑linear regression techniques may be applied.

(5) In cases where multiple predictor measures are used, multiple linear or non‑linear regression techniques may be applied.

(6) An allometric function must take one of the following forms:

(a) Image unavailable in extracted text

(b) Image unavailable in extracted text

=	biomass for a tree in kilograms of dry matter.
=	the ith of p predictor measure(s) for estimating biomass within a tree.
	constants derived through regression analyses, .
	the number of predictor measures.