Omran, A., Abou El-Fittouh, H. (1974). Use of Stepwise Regression in Developing a Prediction Model for Seed Yield in Flax. The Egyptian Statistical Journal, 18(2), 117-123. doi: 10.21608/esju.1974.315773
A.O. Omran; H.A. Abou El-Fittouh. "Use of Stepwise Regression in Developing a Prediction Model for Seed Yield in Flax". The Egyptian Statistical Journal, 18, 2, 1974, 117-123. doi: 10.21608/esju.1974.315773
Omran, A., Abou El-Fittouh, H. (1974). 'Use of Stepwise Regression in Developing a Prediction Model for Seed Yield in Flax', The Egyptian Statistical Journal, 18(2), pp. 117-123. doi: 10.21608/esju.1974.315773
Omran, A., Abou El-Fittouh, H. Use of Stepwise Regression in Developing a Prediction Model for Seed Yield in Flax. The Egyptian Statistical Journal, 1974; 18(2): 117-123. doi: 10.21608/esju.1974.315773
Use of Stepwise Regression in Developing a Prediction Model for Seed Yield in Flax
The stepwise regression analysis was used to determine a prediction model for seed yield in flax. The data studied were from a randomized complete block experiment in which 200 breeding families were replicated twice in each of two localities. Seeds and capsules per area (S/A and C/A) gave the highest correlation with yield followed by tillers per area (T/A) and capsules per tiller (C/T), but 100-seed weight (S W) and seeds per capsule (S/C) gave negative or insignificant values with yield. Using all six independent variables, the prediction model accounted for 97.79 and 99.62% of the variability in yield for the two localities. Almost the same R²values were obtained with the five significant variables determined by the stepwise regression analysis. Confining the analysis to the preharvest characters (T/A, C/T and C/A) resulted in R²values of .8020 and .6923. Since CA is the product of T/A and C/T, the predictive model on the basis of C/A alone gave an R²of .7235 indicating that C/A is a better predictive variable than its two components (T/A and C/T).