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. 2022 May 25;29(48):72777–72796. doi: 10.1007/s11356-022-20962-z

Table 13.

Linear regression for the impact of climate change on soybean production

lnsoya Coef St.Err t-value p-value [95% Conf Interval] Sig
lnco2 1.553 0.218 7.14 0.000 1.106 2.001 ***
lndc 0.284 0.199 1.42 0.166  − 0.126 0.694
lnfert  − 0.005 0.119  − 0.04 0.966  − 0.251 0.240
lnprec 0.657 0.605 1.09 0.288  − 0.587 1.901
Constant  − 8.346 4.280  − 1.95 0.062  − 17.143 0.451 *
Mean dependent var 10.840 SD dependent var 1.095
R-squared 0.944 Number of obs 31.000
F-test 109.752 Prob > F 0.000
Akaike crit. (AIC) 13.161 Bayesian crit. (BIC) 20.331

***p < 0.01, **p < 0.05, *p < 0.1