ANACOVAAnalysis of Covariance (statistical method)
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According to the ANACOVA model, the quantitative variable that affects the response variable is called the covariate.
The second section describes the basic concepts of covariance analysis and the ANACOVA model.
According to Montgomery[11], the basic assumptions of the ANACOVA model described above are as follows:
Among them, the ANOVA, ANACOVA and regression are the most commonly used statistical methods.
The assumptions presented in the second section need be tested before performing ANACOVA and ANOVA analysis.
The ANACOVA results generated by the SAS package are presented in Tables IV and V and the results can be interpreted as follows:
0610), but significant based on ANACOVA (P-value = 0.
According to the analysis of ANACOVA, some suggestions for the case study can be made as follows: