Nohut (Cicer arietinum L.) Bitkisinde Verime Etki Eden Bazı Karakterlerin Alternatif Regresyon Yöntemleriyle Karşılaştırılması

Regression express that the mathematichal relationsheep between independent variables and depend variables. Dependent variables related to independent variables that is named regression function. In simple regression, relationships among one dependent and another independent variables are investigated. In this study lineer relationships between effective variables on seed weight and seed weight were investigated. The experiments were carried out in Bahri Dağdaş International Agricultural Resaech Institude’s experimental areas on Damla Chikpea cultivar. In Chikpea plants the factors that effects seed yield plant high, number of branch, first bean hight, pod number, seed number, harvest index and biological yields were measured. These measurements were inquired as multiple lineer regression model ( i ip p i i i x x x Y ε β β β β = L 2 2 1 1 0 ). Estimated values of this model, least squer method and its alternatives Ridge regression and M-Regression methods were calculated and this results compared. This study of results were suggested the most apropriate model.