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. Author manuscript; available in PMC: 2010 Aug 15.
Published in final edited form as: J Exp Mar Biol Ecol. 2009 Aug 15;376(2):59–67. doi: 10.1016/j.jembe.2009.06.004

Table 3.

Growth equation parameters for juvenile Chelonia mydas as determined by stepwise multiple linear regression.

Tissue Model # y x1 x2 intercept β1 β2 R2 F p-value
Liver 1 SGRbm Ln[RNA] 8.040 −1.132 0.629 45.011 < 0.0001
Liver 2 SGRbm Ln[RNA] CI 4.316 −0.913 17.689 0.680 28.567 < 0.0001
Heart 3 SGRbm CI −3.940 38.475 0.379 16.897 < 0.001
Blood 4 SGRbm CI −3.940 38.475 0.379 16.897 < 0.001
Blood 5 SGRbm CI Ln[DNA] 5.384 31.770 −1.402 0.547 16.705 < 0.0001
Liver 6 SGRcl Ln[RNA] 2.549 −0.353 0.659 51.159 < 0.0001
Heart 7 SGRcl CI −0.903 9.951 0.262 10.245 0.004
Blood 8 SGRcl CI −0.903 9.951 0.262 10.245 0.004
Blood 9 SGRcl CI Ln[DNA] 1.730 8.058 −0.396 0.398 9.950 0.001

Notes: Specific growth rate (SGR) for body mass (bm) or carapace length (cl) was regressed against condition index (CI) and all biochemical indices for a particular tissue (liver, heart, or blood) (n = 27 for each variable). When specific growth rate was regressed against condition index and biochemical indices for all tissues together, the resulting models were identical to models 1–2 (for SGRbm) and model 6 (for SGRcl). Variables are listed in the order in which they were selected by the models. Significant p-values are indicated in bold. Abbreviations are the same as in Table 1.