Table II

ζ^{low}
. | . | λ . | . | R^{2}
. | . | λ_{1 }[cm^{−1}]
. | . | R^{2}
. |
---|---|---|---|---|---|---|---|---|

0 | 0.978 | 0.909 | −0.0825 | 0.981 | ||||

0.1 | 0.974 | 0.939 | −0.0838 | 0.983 | ||||

0.2 | 0.947 | 0.986 | −0.0917 | 0.986 | ||||

0.3 | 0.904 | 0.993 | −0.0917 | 0.976 | ||||

0.4 | 0.883 | 0.995 | −0.1009 | 0.985 |

ζ^{low}
. | . | λ . | . | R^{2}
. | . | λ_{1 }[cm^{−1}]
. | . | R^{2}
. |
---|---|---|---|---|---|---|---|---|

0 | 0.978 | 0.909 | −0.0825 | 0.981 | ||||

0.1 | 0.974 | 0.939 | −0.0838 | 0.983 | ||||

0.2 | 0.947 | 0.986 | −0.0917 | 0.986 | ||||

0.3 | 0.904 | 0.993 | −0.0917 | 0.976 | ||||

0.4 | 0.883 | 0.995 | −0.1009 | 0.985 |

For each value of ζ^{low} the average branching rate λ along the “main path” of each tree was computed from the slope of a linear regression of log(*r*_{n}/ *r*_{0}) versus *n*, cf. Eq. 11. These regressions against the structural variable *n* were seen to discriminate well between trees. Conversely, regressions for *r*_{n}/*r*_{0} over the metric path lengths (regression slope λ_{1}) failed to discriminate between trees. R^{2} is the ratio of explained variance (i.e., R^{2} = Sum of Squares (Model)/Sum of Squares (total), used as the criterion for the goodness of fit.

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