The quantity can only mirror a linear correlation of variables and ignores many alternative relationships or correlations with covariance. As an example- Someone would want the peak and age of a teen from an adult age to possess a correlation coeffective knowingly higher than 0, but a lot less than 1.
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4. MANOVA( Multivariate analysis of variance): This process is employed to match facts of random variables whose benefit is unknown. MANOVA method can also be made use of to research differing types of population and what aspects can impact their possibilities.
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