Assessment and validation of miniaturized technology for the remote tracking of critically endangered Galápagos pink land iguana (Conolophus marthae)

Table 1 Quadratic regression

Dependent variable	Quadratic regression equation	R²	p
T1-IND	y = − 85.26 + 518.15 − 494.61x²	0.913	\(\ll\) 0.001
T1-OUT	y = − 21.40 + 209.32x − 196.74x²	0.845	\(\ll\) 0.001
T2-IND	y = − 82.15 + 504.34x − 483.01x\(^{2}\)	0.932	\(\ll\) 0.001
T2-OUT	y = − 69.27 + 429.41x − 402.05x\(^{2}\)	0.846	\(\ll\) 0.001
WSN-1	y = − 113.22 + 653.66x − 624.54x\(^{2}\)	0.935	\(\ll\) 0.001
WSN-59	y = − 81.54 + 495.78x − 468.19x\(^{2}\)	0.912	\(\ll\) 0.001

Square regression coefficient is estimated as SSR/SST, corrected for the mean. The dependent variable (y) is temperature as estimated by each different sensor. The independent variable (x) is time. Statistical significance (p) is shown in the last column

ISSN: 2050-3385