ISSN 1003-8280 CN 10-1522/R 中国疾病预防控制中心 主办
Chinese Journal of Vector Biology and Control >
Effects of multicollinearity among common temperature parameters on model in the case of mosquitoes
Received date: 2015-02-11
Online published: 2015-08-20
Supported by
Supported by the Health Systems Research Projects of Wuxi(No. Q201302)
Objective Multicollinearity among common temperature parameters was analyzed to get suggestions for establishing the temperature driving model of insect population. Methods SPSS 13.0 was used to analyze pairwise correlation of daily average temperature (X1),maximum temperature (X2), lowest temperature (X3), 18:00 temperature (X4) and five days' average temperature (X5), which was collected from 2010 March to 2011 November. Meanwhile multicollinearity of temperature parameters was diagnosed based on mosquito population model droved by temperature. Results There was an extremely significant (P < 0.01) linear correlation between the various parameters. The coefficient of determination between X1 and X2 is the highest (Rc2=0.959); and it was the lowest between X4 and X5 (Rc2=0.811). Conclusion There were extremely significant correlation between any two temperature parameters discussed in this paper. These five temperature parameters had strong multicollinearity in mosquito temperature driving model. Multicollinearity weakened the model regression goodness. Simultaneous application of multiple temperature parameters should be avoided when introducing the temperature factor to establish temperature driving model.
Key words： Air temperature; Collinearity; Model; Mosquito
LAN Ce-jie, SHEN Yuan, YOU Ying-qi . Effects of multicollinearity among common temperature parameters on model in the case of mosquitoes[J]. Chinese Journal of Vector Biology and Control, 2015 , 26(4) : 372 -375 . DOI: 10.11853/j.issn.1003.4692.2015.04.011
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