the ANOVA technique generalised them across the scope of study. The analysis was factorial because the researcher conducted experiments at all level of combinations of all the factors sampled. The efficiency of the experiments increased after the completion of every factor. The 3-way ANOVA tests posed one problem the interactions of the variables could have created a false positive accidentally. However

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while R²0.124. The table below shows the products of the regression analysis

Model Summary.

Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.346(a)	.124	.111	.63883

ANOVA (b).

Coefficient (a).

Model		Unstandardised Coefficients	Standardised Coefficients	T	Sig.
B	Std. Error	Beta	B	Std. Error
1	(Constant)	2.358	.367		6.416	.000
X7PMM	.310	.084	.344	3.580	.001

This paper used ANOVA tests to analyse the hypotheses proposed in the study. Since the study included multiple variances