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Table 2 Multiple linear regression models along with coefficients of determination (R2) regarding the impact of weather parameters on the seasonal abundance of different insect pests of betel leaf

From: Sustainable management approach for sucking pests control in betel leaf of Bangladesh

Name of the insectRegression equationR2100R2% Role of individual factorF statistic
Black flyY = − 16.438 + 1.082X10.54754.754.7F1,10 = 12.09, P < 0.01
Y = 2.190 + 1.075X1− 0.227X20.57057.03.7F2,9 = 5.97, P < 0.05
Y = − 14.675 + 1.222X1− 0.057X2− 0.006X30.57957.90.9F3,8 = 3.67, P < 0.10
White flyY = − 12.201 + 0.726X10.34334.334.3F1,10 = 5.21, P < 0.05
Y = 31.610 + 0.710X1− 0.509X20.50350.316.0F2,9 = 4.56, P < 0.05
Y = 20.288 + 0.809X1− 0.395X2− 0.004X30.50950.90.6F3,8 = 2.76, P < 0.10
Red spider miteY = − 9.342 + 0.671X10.33933.933.9F1,10 = 5.12, P < 0.05
Y = 30.813 + 0.655X1− 0.489X20.51051.017.1F2,9 = 4.69, P < 0.05
Y = 2.843 + 0.725X1− 0.408X2− 0.003X30.51351.30.3F3,8 = 2.82, P < 0.10
Mealy bugY = − 10.008 + 0.645X10.36336.336.3F1,10 = 5.70, P < 0.05
Y = 27.265 + 0.630X1-0.454X20.53553.517.2F2,9 = 5.18, P < 0.05
Y = 1.223 + 0.683X1− 0.393X2− 0.002X30.53753.70.2F3,8 = 3.10, P = 0.089
  1. Y = insect population/vine; X1 = average temperature (°C); X2 = relative humidity (%); X3 = average rainfall (mm)