| Table 4: The slope and F-statistics value of linear regression model of millet yield per unit (). |
| | County (city or banner) | Slope | F-value |
| | Horqin Zuoyi Zhong | 0.09 | 17.1* | | Kailu | 0.19 | 55.2* | | Horqin Zuoyi Hou | 0.08 | 25.2* | | Naiman | 0.11 | 56.1* | | Hure | 0.07 | 42.5* | | Aohan | 0.07 | 15.7* | | Ongniud | 0.11 | 76.8* | | Ningcheng | 0.18 | 78.5* | | Harqin | 0.06 | 19.9* | | Wuyuan | 0.05 | 19.8* | | Hanggin Hou | 0.06 | 12.3* | | Dengkou | −0.05 | 6.0* | | Ejin Horo | 0.08 | 33.5* | | Liangcheng | 0.11 | 45.1* |
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*Regression model can reach the significance at the 0.05 level.
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