Minimum temperatures

Maximum temperatures

Linear regression

r²

p-value

Linear regression

r²

p-value

January

y = −72.5 + 0.04*x

0.04

0.226

y = −172.1 + 0.09*x

0.15

0.013

February

y = −57.5 + 0.03*x

0.02

0.350

y = −219.9 + 0.11*x

0.19

0.003

March

y = −13.4 + 0.01*x

0.00

0.699

y = −237.1 + 0.12*x

0.30

2.1*10^-4

April

y = −111.7 + 0.06*x

0.29

2.9*10⁻⁴

y = −310.0 + 0.16*x

0.49

2.9*10^-7

May

y = −63.9 + 0.04*x

0.12

0.029

y = -125.9 + 0.07*x

0.17

0.008

June

y = −20.0 + 0.02*x

0.03

0.291

y = −75.9 + 0.05*x

0.12

0.027

July

y = −57.9 + 0.04*x

0.09

0.052

y = −83.6 + 0.05*x

0.11

0.032

August

y = −17.4 + 0.02*x

0.03

0.307

y = −146.0 + 0.09*x

0.29

2.6*10⁻⁴

September

y = −4.6 + 0.01*x

0.01

0.656

y = −176.6 + 0.10*x

0.22

0.002

Oktober

y = −18.2 + 0.01*x

0.01

0.484

y = −224.9 + 0.12*x

0.38

1.6*10⁻⁵

November

y = −109.2 + 0.06*x

0.16

0.009

y = −228.1 + 0.12*x

0.37

2.7*10⁻⁵

December

y = −64.1 + 0.03*x

0.05

0.148

y = −137.0 + 0.08*x

0.18

0.006