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Table 3 Regressions between the measured variables. Regressions between the measured variables using the general model (second column) and the dummy variable method (third column). ns = not significant. Cond. = Conductivity, Vol. = Volume. r = Pearson's correlation coefficient; p = significance of r; A: intercept with Y-axis (±SD is also expressed); B: Slope of the regression line (±SD is also expressed); p (B): significance of B. The correlations refer to the concentrations of H2O2 and MDA. Ei = dummy variable. Its value is 1 for the i-th subject, -1 for the last subject, 0 elsewhere.

From: Influence of condensation temperature on selected exhaled breath parameters

H2O2 vs Vol. Log (H2O2) = A + B*Volume Log (H2O2) = A + B*Volume + ΣiCiEi
  r P A B p (B) A B p (B)
  -0.29 <0.01 -0.73 ± 0.08 (-2.7 ± 0.9)*10-5 <0.01 -0.88 ± 0.08 (-8.5 ± 5.2)*10-5 ns
MDA vs Vol. Log (MDA) = A + B*Volume Log (MDA) = A + B*Volume + Σ i C i E i
  r P A B p (B) A B p (B)
  -0.54 <0.01 1.01 ± 0.04 (-2.4 ± 0.4)*10-4 <0.01 1.00 ± 0.04 (-2.3 ± 0.4)*10-4 <0.01
Cond. vs Vol. Log (Cond.) = A + B*Volume Log (Cond.) = A + B*Volume + Σ i C i E i
  r P A B p (B) A B p (B)
  -0.34 <0.01 0.94 ± 0.13 (-5.2 ± 1.5)*10-4 <0.01 1.05 ± 0.13 (-6.5 ± 1.4)*10-4 <0.01
MDA vs H 2 O 2 Log (MDA) = A + B*Log (H 2 O 2 ) Log (MDA) = A + B*Log (H 2 O 2 ) + Σ i C i E i
  r P A B p (B) A B p (B)
  0.53 <0.01 1.05 ± 0.04 0.25 ± 0.04 <0.01 1.16 ± 0.09 0.37 ± 0.10 <0.01
H 2 O 2 vs Cond. Log (H 2 O 2 ) = A + B*Log (Cond.) Log (H 2 O 2 ) = A + B*Log (Cond.) + Σ i C i E i
  r P A B p (B) A B p (B)
  0.12 Ns    Ns    ns
MDA vs. Cond. Log (MDA) = A + B*Log (Cond.) Log (MDA) = A + B*Log (Cond.) + Σ i C i E i
  r P A B p (B) A B p (B)
  0.21 <0.05 0.78 ± 0.02 0.06 ± 0.03 <0.05 0.76 ± 0.02 0.10 ± 0.03 <0.01