Recognizing Different Sets or Groups of Customers Based on Their

question 19

Multiple Choice

Recognizing different sets or groups of customers based on their needs is called

• A) market segmentation.
• B) cross-functional alignment.
• C) customer satisfaction measurement.
• D) channel strategy.
• E) sales execution.

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Definitions:

Multiple Regression Model

A predictive method in statistics that uses a range of explanatory variables to estimate the result of a dependent variable.

Independent Variables

Variables in an experiment or statistical model that are manipulated or categorized to determine their effect on dependent variables without being affected by any other variable in the model.

Homoscedasticity

A term in statistics describing a situation where all random variables across a dataset have the same finite variance.

Normality Of Errors

An assumption in many statistical models that the errors in the predictions are normally distributed.