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Table 2 Logistic regression analyses: regression equation is Y = β0 + β1 + β2

From: Parasitic wasp responses to symbiont-based defense in aphids

A. Resistance effects of infection with H. defensarelative to uninfected control

assay

Regression equation

P-value

5A vs. 82B→5A

Y = 0.66 - 0.49Hd

P = 0.02

5A vs. A1A→5A

Y = -0.57 - 1.73Hd

P = 0.0001

5A vs. A2F→5A

Y = -0.57 - 1.72Hd

P = 0.0001

A2E vs. 82B→A2E

Y = 0.69 - 0.90Hd

P = 0.001

B. Variation in resistance among H. defensa strains in common background 5A

A2F vs. 82B vs. A1A

Y = -1.13 + 1.382B -0.16A1A

P = 0.001

C. effects of superparasitism on rates of successful parasitism

Assay

Regression equation

P- value

5A (uninfected)

Y = 1.28 + 0.13DP

P = 0.57

82B→5A (H. defensa + APSE-2)

Y = 1.44 + 1.27DP

P = 0.001

A1A→5A (H. defensa + APSE-3)

Y = -1.34 + 0.97DP

P = 0.0005

A2F→5A (H. defensa + APSE-3)

Y = -1.55 + 0.73DP

P = 0.004

A2E (uninfected)

Y = 2.54 + 0.94DP

P = 0.01

82B→A2E (H. defensa + APSE-2)

Y = 0.34 + 0.55DP

P = 0.008

All treatments

Y = 0.35 + 0.40DP

P < 0.0001

All H. defensa-infected

Y = -0.26 + 0.46DP

P < 0.0001

All uninfected

Y = 1.71 + 0.32DP

P = 0.07

  1. DP, double-parasitism; Hd, H. defensa