## What is.

When you have a series of numbers where values can be predicted based on preceding values in the series, the series is said to exhibit autocorrelation.

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five steps market research process: formulation of the question(s), designing research methodology, data collection, analysis, and findings communication.

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The variance inflation factor (VIF) quantifies the extent of correlation between one predictor and the other predictors in a model.

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Linear regression quantifies the relationship between one or more predictor variables and one outcome variable. Learn more about Linear regression.

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Cluster analysis refers to algorithms that group similar objects into groups called clusters. The endpoint of cluster analysis is a set of clusters, where each ...

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Driver analysis is used to quantify the importance of a series of several predictor variables in predicting an outcome variable.

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Shapley Value regression is a technique for working out the relative importance of predictor variables in linear regression. Read more here.

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Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. Learn more.

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What is k-means cluster analysis? An in depth look plus a step by step guide to perform k-means cluster analysis by data scientist Tim Bock of displayr.com

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What is Market Definition? Learn more about Market Definition, techniques and approaches, an informative article by data scientist Tim Bock on Displayr.com

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Guide to Operational Segmentation and Inspirational Segmentation. Learn more in this informative article by data scientist Tim Bock on displayr.com

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Market segmentation research is research that is used to help a firm identify segments in a market, with the end goal of developing different strategies.

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Market segmentation involves splitting a market into segments and developing different tactics and strategies for the segments.

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A dendrogram is a diagram that shows the hierarchical relationship between objects. It is commonly created as an output from hierarchical clustering.

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