Correlation means that Otwo variables actually mean the same thing, e.g., socio-economic status and household income Oone variable causes another Oone variable cannot exist without the other Otwo variables are related
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A correlation between two variables: shows that one is dependent on the other shows a relationship that is definitely cause and effect always involves variables that increase together none of these answers is correct
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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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