The results of multiple covariance analysis
of subjects in each component of marital burnout are presented in Table (4) to compare post-test scores in experimental and control groups.
was used to evaluate data normality and covariance, and homogeneity of pretest scores between the two groups.
Linear regression relationships between SL, LW, and Wt were calculated and compared through the use of covariance analysis
to determine if there was a relationship between sex and shell size or shape (Stoner et al.
Statistical analysis was performed by SPSS (version 13) using independent t-test, Pearson's correlation coefficient and covariance analysis
The differences of scores among the five groups were compared using covariance analysis
(ANCOVA) before and after the double-J stent application.
Serum homocysteine differences between the groups according to gender and folic acid values were adjusted and covariance analysis
was performed to see the association of liver function tests and MS (correcting for age, smoking, and gender).
showed that serial autocorrelation was not a factor influencing recruitment within populations, and differences in precipitation accounted for 38.
After introducing basic statistical concepts and simple linear regression, he discusses multiple linear regression procedures and matrix algebra, aspects of correlation analysis and partial correlation analysis, common problems of multiple linear regression such as multiple collinearity and ridge regression bias, polynomial regression and its uses, residual analysis, the use of indicator or dummy variables, forward and stepwise selections of xi and backward elimination in statistical software, and covariance analysis
In the first test, in order to statistically control the possible variation of density, the study of the data obtained was carried out using a covariance analysis
A covariance analysis
of constructs related to the process of mathematical discovery is presented.
The covariance analysis
indicated highly significant differences in slopes (Fcalc = 4.