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Correlation

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Correlation

- Measure of Relationship
- Strength
- Direction

- Scatterplot
- Conceptual Formula
- Computational Formula
- Assumptions
- Problems Effecting the Interpretation of the Correlation Coefficient

- In a correlational study, two measures -- representing the variables of interest -- are given to onegroup of subjects.
- The subject’s scores on both measures are summarized, and the relationship between the scores on the two measures is examined.

- When the correlation coefficient is used to describe a linear relationship, the coefficient can take on values from -1.00 to +1.00.
- The sign of the correlation indicates the direction of the relationship between two variables.

- A positive relationship means that low scores on X go with low scores on Y whereas high scores on X go with high scores on Y.
- A negative relationship means that as scores on X increase, scores on Y decrease.

- A correlation of +.95 or of -.95 indicates a very strong relationship between the two variables.
- A correlation of 0 indicates that there is no linear relationship between the variables.

- Non Linear Relationship

- Outliers