Having a data set with orthogonal variables is not the ideal situation.
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Q15: Age is a quantitative variable, but one
Q16: When conducting a multivariate analysis, the best
Q17: The mathematical calculations involved in multivariate statistical
Q18: Orthogonality is perfect association between variables.
Q19: Orthogonality is not a desirable quality for
Q21: When variables are correlated, they have overlapping,
Q22: Using a standard analysis approach, the overlapping
Q23: The sequential analysis requires the researcher to
Q24: One of the major difficulties in using
Q25: The first step in nearly any data
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