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Table 5 The regression coefficients of the model constructs as independent variable and measured variables as dependent variable with related standard error, critical ratio of t statistic and their probability

From: The effect of humic acid and water super absorbent polymer application on sesame in an ecological cropping system: a new employment of structural equation modeling in agriculture

  Estimate S.E. C.R. P Label
PlantPhisiology SoilProperties − 0.476 6.787 − 0.070 0.944 par_13
PlantArchitecture PlantPhisiology 0.672 0.293 2.295 0.022 par_10
PlantArchitecture SoilProperties − 1.113 8.755 − 0.127 0.899 par_11
QualitativeYield PlantPhisiology − 0.009 0.207 − 0.046 0.963 par_8
QualitativeYield SoilProperties 4.468 5.754 0.776 0.437 par_12
QualitativeYield PlantArchitecture 0.410 0.161 2.554 0.011 par_14
CGR PlantPhisiology 1.000     
SoilP PlantPhisiology 0.001 0.000 12.281 *** par_1
WUE PlantArchitecture 0.106 0.016 6.809 *** par_2
LAI PlantArchitecture 1.000     
SeedY PlantPhisiology 246.243 30.259 8.138 *** par_3
BiolY PlantPhisiology 424.731 146.126 2.907 0.004 par_4
PlantH PlantArchitecture 5.615 1.129 4.975 *** par_5
SoilN SoilProperties 1.000     
SoilEC SoilProperties 12.153 2.591 4.690 *** par_6
SoilpH SoilProperties − 23.520 5.573 − 4.220 *** par_7
SeedW PlantPhisiology 10.534 3.784 2.784 0.005 par_9
ProteinPercentage QualitativeYield 1.000     
OilPercentage QualitativeYield 1.000