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.

Question

Mathematics

Krista Macdonald

22 December, 23:34

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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Anabelle · Answer 1

The correct statements are: 1, 2, 3, 4 and 5.

Step-by-step explanation:

A correlation coefficient is a mathematical measure of certain kind of correlation, in sense a statistical relationship amid two variables.

It is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i. e. dependent and independent). It ranges from - 1 to + 1.

Positive correlation is an association amid two variables in which both variables change in the same direction.

A positive correlation occurs when one variable declines as the other variable declines, or one variable escalates while the other escalates.

Negative correlation is a relationship amid two variables in which one variable rises as the other falls, and vice versa.

If there is any alteration in the value of one variable, the value of the other variable is altered in a fixed proportion. The correlation amid them is known as perfect correlation.

In statistics, a perfect positive correlation is represented by + 1 and - 1 indicates a perfect negative correlation.

The correlation coefficient is scaleless. This implies that the value of the correlation coefficient does not changes if the scale of one or both the variables are altered.

Thus, the correct statements are: 1, 2, 3, 4 and 5.