Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2005.1753.1756EyduranE.T. OzdemirB. CakE. Alarslan102005510This study was carried out to examine the effects of environmental factors on different growth with Chi-square, G-test and
logistic regression analysis after body weights of these growth periods were categorized as binary. Besides, logistic
regression was also based on concordant statistics except Chi-square and G-tests as model fit criteria. With respect to three
fit criteria, the relationships among categorized birth weight with categorized body weights in 45th, 60th and 75th days were
significant (p<0.01). Moreover, the relationship between periods of the lambs born in early March of 2001 year by using
logistic regression. The relationships between categorized body weights and categorized birth weight and/or environmental
factors were analyzed sex and only categorized body weight in 75th day was significant (p<0.05). It could be said that
birth weight, one of environmental factors, improved model fit more than the other factors when considered all model fit
criteria in logistic regression.As a result, it can be suggested that in addition to Chi-square and G-tests used for
providing relationship between two traits, logistic regression in terms of obtaining from different information will be an
alternative analysis in place of variance analysis.]]>Sharma, S.,1996Duzguneo, O., A. Elicin and N. Akman,1996Allison, P.D.,1999