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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