Statistical Analysis
The association of different parameters with respect
to the occurrence of the NORM, MOD, and SEV degrees
of white striping was analyzed using multinomial
logistic regression model:where zi is the log odds for the ith dependent category
with respect to the reference category, αi is the
constant, x1, x2, … xk denote the independent variables,
some of which may be interaction terms, and βik
is the logistic coefficient for the ith category and kth
independent variable. The MOD and SEV degrees of
white striping were considered as the dependent variables
with NORM as the reference category. The independent
variables considered in the model include the
indicator variables representing the distinct levels of
factors, the mean centered covariates and their 2- and
3-way interactions. The factors or the categorical variables
used in the study were strain, feed, sex, and chill
hour.
Statistical Analysis
The association of different parameters with respect
to the occurrence of the NORM, MOD, and SEV degrees
of white striping was analyzed using multinomial
logistic regression model:where zi is the log odds for the ith dependent category
with respect to the reference category, αi is the
constant, x1, x2, … xk denote the independent variables,
some of which may be interaction terms, and βik
is the logistic coefficient for the ith category and kth
independent variable. The MOD and SEV degrees of
white striping were considered as the dependent variables
with NORM as the reference category. The independent
variables considered in the model include the
indicator variables representing the distinct levels of
factors, the mean centered covariates and their 2- and
3-way interactions. The factors or the categorical variables
used in the study were strain, feed, sex, and chill
hour.
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