Computer and Biometric Services Unit International Center for Agricultural Research in the Dry Areas (ICARDA) P.O. Box 5466, Aleppo, Syria Online BioComputing Service ......... Date(D/M/Y) : 30 / 3 / 2005 Time : 15 hr 7 min Summary of the path analysis of similar experiments ................................................................................................................... ********** Notations ************************************ ******************************************************************************* ................................................................................................................... 1. Experiments or data sets details ................................................... No. of similar experiments = 2 No. of observations in each experiment = 86 Dependent variable : SY Independent variables : PHT, LPH,NPPP,NSPP,NSPPD, SW100 .................................................................................... 2. Experiment-wise summary ............................................................... ..................................................................................................... Trial number is = 1 ............................................................................................................ Correlations PHT 1.0000 LPH 0.8554 1.0000 NPPP -0.0810 -0.2949 1.0000 NSPP -0.0935 -0.3174 0.9946 1.0000 NSPPD -0.1062 -0.1939 0.0180 0.1148 1.0000 SW100 0.6727 0.6976 -0.4044 -0.4324 -0.2871 1.0000 SY 0.4197 0.1901 0.7423 0.7264 -0.0881 0.2886 1.0000 PHT LPH NPPP NSPP NSPPD SW100 SY ... Correlations with dependent variable PHT LPH NPPP NSPP NSPPD SW100 0.4197 0.1901 0.7423 0.7264 -0.0881 0.2886 Path coefficients PHT LPH NPPP NSPP NSPPD SW100 0.0855 -0.0619 1.0002 0.0176 0.0937 0.7132 ... Decomposition of correlation into direct and indirect effects XVariables PHT LPH NPPP NSPP NSPPD SW100 XVariables PHT 0.0855 -0.0529 -0.0810 -0.0016 -0.0100 0.4798 LPH 0.0731 -0.0619 -0.2950 -0.0056 -0.0182 0.4976 NPPP -0.0069 0.0182 1.0002 0.0175 0.0017 -0.2884 NSPP -0.0080 0.0196 0.9948 0.0176 0.0108 -0.3084 NSPPD -0.0091 0.0120 0.0180 0.0020 0.0937 -0.2048 SW100 0.0575 -0.0432 -0.4045 -0.0076 -0.0269 0.7132 ... Contribution of direct and indirect effects in variability PHT 0.0073 LPH -0.0090 0.0038 NPPP -0.0139 0.0365 1.0004 NSPP -0.0003 0.0007 0.0350 0.0003 NSPPD -0.0017 0.0022 0.0034 0.0004 0.0088 SW100 0.0820 -0.0616 -0.5770 -0.0109 -0.0384 0.5087 PHT LPH NPPP NSPP NSPPD SW100 ... Contribution of Residuals in variability 0.02306 ..................................................................................................... Trial number is = 2 ............................................................................................................ Correlations PHT 1.0000 LPH 0.8554 1.0000 NPPP -0.0810 -0.2949 1.0000 NSPP -0.0935 -0.3174 0.9946 1.0000 NSPPD -0.1062 -0.1939 0.0180 0.1148 1.0000 SW100 0.6727 0.6976 -0.4044 -0.4324 -0.2871 1.0000 SY 0.4197 0.1901 0.7423 0.7264 -0.0881 0.2886 1.0000 PHT LPH NPPP NSPP NSPPD SW100 SY ... Correlations with dependent variable PHT LPH NPPP NSPP NSPPD SW100 0.4197 0.1901 0.7423 0.7264 -0.0881 0.2886 Path coefficients PHT LPH NPPP NSPP NSPPD SW100 0.0855 -0.0619 1.0002 0.0176 0.0937 0.7132 ... Decomposition of correlation into direct and indirect effects XVariables PHT LPH NPPP NSPP NSPPD SW100 XVariables PHT 0.0855 -0.0529 -0.0810 -0.0016 -0.0100 0.4798 LPH 0.0731 -0.0619 -0.2950 -0.0056 -0.0182 0.4976 NPPP -0.0069 0.0182 1.0002 0.0175 0.0017 -0.2884 NSPP -0.0080 0.0196 0.9948 0.0176 0.0108 -0.3084 NSPPD -0.0091 0.0120 0.0180 0.0020 0.0937 -0.2048 SW100 0.0575 -0.0432 -0.4045 -0.0076 -0.0269 0.7132 ... Contribution of direct and indirect effects in variability PHT 0.0073 LPH -0.0090 0.0038 NPPP -0.0139 0.0365 1.0004 NSPP -0.0003 0.0007 0.0350 0.0003 NSPPD -0.0017 0.0022 0.0034 0.0004 0.0088 SW100 0.0820 -0.0616 -0.5770 -0.0109 -0.0384 0.5087 PHT LPH NPPP NSPP NSPPD SW100 ... Contribution of Residuals in variability 0.02306