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There are two or more continuous dependent variables in MANOVA. The initial test assumes that there is a linear combination of the dependent variables.
Hypothesis: The independent variable of interest has an effect on the linear combination of the dependent variables, when controlling for other independent variables and interactions among independent variables.
If there is a multivariate effect of the independent variables, then a series of normal ANOVA analyses are done with each of the actual dependent variables.
Perform a Goldfeld-Quandt test for heteroskedasticity under the assumption the variance of the error increases with population density. Attach your results, and write out the form
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brief explanation of factors effecting differential scanning calorimeter
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