If the p-value is less than the

**significance**level (α = 0.05): Decision: REJECT the null hypothesis. Conclusion: "The**correlation coefficient IS SIGNIFICANT**." We believe that there IS a**significant**linear relationship between x and y. because the**correlation coefficient is significantly**different from 0.Similarly, you may ask, what indicates a strong correlation?

The

**correlation**coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. Values between 0.7 and 1.0 (-0.7 and -1.0)**indicate a strong**positive (negative) linear relationship via a firm linear rule.What does it mean to have a high correlation?

**Correlation**refers to a technique used to measure the relationship between two or more variables.When two things are

**correlated**, it

**means**that they vary together.Positive

**correlation means**that

**high**scores on one are associated with

**high**scores on the other, and that low scores on one are associated with low scores on