![]() ![]() Null hypothesis: Means of all genotypes yield are equal after controlling the effect of genotypes height i.e.one independent variable with two or more groups, dependent, and covariate variables ANCOVA Hypotheses In one-way ANCOVA, there are three variables viz. Covariate should be measured without error or as little error as possible.Dependent variable and covariate should be measured on a continuous scale.the regression lines between the covariate and dependent variable for each group of the independent variable should be parallel (same slope). Homogeneity of within-group regression slopes (parallelism or non-interaction): There should be no interaction between the categorical independent variable and covariate i.e.If the relationship is not linear, the adjustment made to covariate will be biased. ![]() ![]() Linearity assumption: At each level of categorical independent variable, the covariate should be linearly related to the dependent variable.In addition, ANCOVA needs to meet the following assumptions, ANCOVA follows similar assumptions as in ANOVA for the independence of observations, normality, and homogeneity of variances ![]()
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