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Table 8 Hypothetical data used to generate Figures 10, 11. Calculation of relative expression follows \( {10}^{-\left({b}_1-{b}_2\right)} \), where b represents the y intercept, and the subscripts c, t1, and t2 represent control, treatment1, and treatment2 respectively

From: Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation

Treatment Temperature (̊C) \( {\Delta C}_q^{(w)} \)    
Control 22 0.511   bt1 − bc −0.2873
Control 24 0.540   Lower CI −0.3159
Control 26 0.615   Upper CI −0.2586
Control 28 0.694   \( \hat{R} \) 1.938
Control 30 0.798   Upper \( \hat{R} \) 1.814
Control 32 0.801   Lower \( \hat{R} \) 2.070
Control 34 0.895    
Control 36 0.985    
Treatment1 22 0.238   bt2 − bc −0.2843
Treatment1 24 0.241   Lower CI −0.3129
Treatment1 26 0.394   Upper CI −0.2556
Treatment1 28 0.401   \( \hat{R} \) 1.924
Treatment1 30 0.452   Upper \( \hat{R} \) 1.801
Treatment1 32 0.511   Lower \( \hat{R} \) 2.055
Treatment1 34 0.631    
Treatment1 36 0.673    
Treatment2 22 0.236   bt2 − bt1 0.0030
Treatment2 24 0.261   Lower CI −0.0257
Treatment2 26 0.388   Upper CI 0.0317
Treatment2 28 0.424   \( \hat{R} \) 0.993
Treatment2 30 0.462   Upper \( \hat{R} \) 0.930
Treatment2 32 0.513   Lower \( \hat{R} \) 1.061
Treatment2 34 0.586    
Treatment2 36 0.695