. 2014 May 28;9(5):e98265. doi: 10.1371/journal.pone.0098265

Table 7. ANCOVA analysis using burst speed as dependent variable, shape variables MI_geo (a) or MI_lin (b) and tadpole size (centroid) as continuous predictors, alongside temperature, predator cues and Roundup as categorical predictors.

a)	SS	d.f.	MS	F	p
Predator	0.068	1	0.068	15.01	<0.001
Roundup	0.000	1	0.000	0.01	0.909
Temperature	0.197	5	0.039	8.66	<0.001
Size (Centroid)	0.167	1	0.167	36.70	<0.001
Shape (MI_geo)	0.129	1	0.129	28.27	<0.001
*PredatorRoundup**	0.011	1	0.011	2.34	0.127
Error	2.544	559	0.005

Univariate tests of significance for burst speed. In both models, we used Sigma-restricted parameterization and Type III (Effective hypothesis) sum of squares.

Table 7. ANCOVA analysis using burst speed as dependent variable, shape variables MIgeo (a) or MIlin (b) and tadpole size (centroid) as continuous predictors, alongside temperature, predator cues and Roundup as categorical predictors.

Table 7. ANCOVA analysis using burst speed as dependent variable, shape variables MI_geo (a) or MI_lin (b) and tadpole size (centroid) as continuous predictors, alongside temperature, predator cues and Roundup as categorical predictors.