Question: Regression and correlation analysis both describe the strength of linear relationships between variables. Consider the concepts of education and income. Many people would say these

Regression and correlation analysis both describe the strength of linear relationships between variables. Consider the concepts of education and income. Many people would say these two variables are related in a linear fashion. As education increases, income usually increases (although not necessarily at the same rate). Can you think of two variables that are related in such a way that their relationship changes over their range of possible values (i.e., in a curvilinear fashion)? How would you analyze the relationship between two such variables?

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Data can be linear and curvilinear in nature but most of the examples cited in this chapter concern relationships between variables that are linear in ... View full answer

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