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. Author manuscript; available in PMC: 2023 Apr 14.
Published in final edited form as: Aerobiologia (Bologna). 2022 Sep 26;38(3):413–428. doi: 10.1007/s10453-022-09756-5

Table 4.

Linear regression analysis of tree pollen

Pollen type Variable with outstanding R2 for West sampler West sampler (2004–2020) linear model: y(x) = APIn y = b0 + b1 x and Pearson correlation coefficient R East sampler Pearson correlation coefficient with the variable listed in the second column
Morus x = TMAX Jun
Excluded: 2005 and 2020
b0 = 202555 ± 30%
b1 = −5886 ± 38%
R2 = 0.78 p = 1.4 × 10−5
R = −0.8813
R = −0.8181
Excluded: 2005 and 2020
Juniperus x = TMIN average Sep and Oct excluded: 2011, 2014, and 2018 b0 = 44767, ±26%
b1 = −3283 ± 31%
R2 = 0.80 p = 1.3 × 10−5
R = −0.8974
R = −0.5785
Excluded: 2011, 2014, and 2018
Populus x = TMAX Jun
Excluded: 2020
b0 = 12774 ± 16%
b1 = −366 ± 17%
R2 = 0.91 p = 7 × 10−8
R = −0.9566
R = 0.2933
Excluded: 2020
Ulmus x = TMAX Jun
Excluded: 2020
b0 = 8423 ± 21%
b1 = −246 ± 21%
R2 = 0.88 p = 9 × 10−8
R = −0.9373
R = −0.2731
Excluded: 2020