Table 2 Summary of different models to predict LD50 values from bee weight.

Model	Predictor	Literature values	R²	Parameter	Estimate	SE	p
log₁₀(y) = a · log₁₀(x) + b	fresh weight	yes	0.34	a	0.8087	0.4623	0.131
		yes	0.34	b	−1.4550	0.8579	0.141
		no	0.76	a	1.0339	0.2879	0.022
		no	0.76	b	−1.6938	0.5216	0.031
	dry weight	yes	0.37	a	1.1068	0.5512	0.085
		yes	0.37	b	−1.5846	0.7591	0.075
		no	0.70	a	1.0490	0.3399	0.037
		no	0.70	b	−1.2693	0.4723	0.055

Models vary in predictor and inclusion or omission of literature values. The explanatory variable “x” of this model is fresh or dry weight [mg] whereas the response variable “y” is the 48 h LD50 of dimethoate [μg a.i./bee]. Parameter “a” is the slope of the function and “b” its intercept with the y-axis. Model function can be alternatively expressed as y = 10^b · x^a.

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