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What is the difference between basis (segmentation) variables and descriptor (discrimination) variables?
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When should I standardize my segmentation data?
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How do I choose between Hierarchical Clustering and K-Means Clustering?
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What is "Cost per unit of effort" and "Margin per unit of output"?
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How do I determine the effort levels units and the output units?
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What is the difference between a constrained and an unconstrained analysis?
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What is a discrete-continuous model?
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When should I transform the predictors?
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When should I transform the target variable?
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What are the differences between perceptual, preference, and joint-space maps?
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How would I know if I need a 2D or a 3D map?
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What does it mean when my brand has high preference scores among customers, but it has relatively low market share in the map?
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Can I interpret the coefficients from the panel regression model in the same way I interpret the coefficients from a simple regression model?
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When should I use a fixed effects option versus random effects option?
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Do I need a balanced panel data for using the panel regression tool in Enginius?