Determination of best fitted regression model for estimation of body weight in Awassi sheep

In this research, linear regression models were improved for estimation Of body weights using various body measurements from Awassi sheep. Simple and multiple regression models were formed when body weight (BW) was dependent variable and body length (BL), heart depth (LID), height at wither (HW), height at shoulder (HS), shin girth (SG), chest width (CW), heart girth (HG), pump width (PW) were independent variables. The best-fitted regress ion model for estimation of body weight was determined by using mean square error (MSEp), R-p(2) and C-p statistics. The model including body length, heart depth, heart girth and pump width was the best fitted model (R-P(2)=0.851, MSEp=8.803, C-p=5.972) for estimation of body weight in Awassi sheep in this study.