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2. Correlation basics Which of the following statements about correlation are true? Check all that apply. If the correlation between two variables is –1, it indicates a perfect negative linear relationship between the two variables. A negative correlation means that two variables tend to change in opposite directions. The sign of the correlation indicates the direction of the relationship between two variables. If the correlation between two variables is close to 1, there is a positive linear relationship between the two variables. The correlation is scaleless; that is, it doesn’t change when the measurement units are changed for either or both of the variables. Correlation measures and describes the behavior of a single variable. The sign of the correlation indicates the strength or consistency of the linear relationship between two variables.
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