If the p-value is less than the

**significance**level (α = 0.05), Decision: Reject the null hypothesis. Conclusion: There is sufficient evidence to conclude there is a**significant**linear relationship between x and y because the**correlation**coefficient is significantly different from zero.Correspondingly, what is a strong correlation?

In statistics, the

**correlation**coefficient r measures the strength and direction of a linear relationship between two variables on a scatterplot. The value of r is always between +1 and –1. A perfect downhill (negative) linear relationship. –0.70. A**strong**downhill (negative) linear relationship.What does it mean when there is a strong correlation?

**Correlation**is a term that refers to the strength of a relationship between two variables where a

**strong**, or high,

**correlation**means that two or more variables have a

**strong**relationship with each other while a weak or low

**correlation**means that the variables are hardly related.

What does it mean to have a weak correlation?

Strong

**Correlation**: A**weak correlation means**that as one variable increases or decreases, there is a lower likelihood of there being a relationship with the second variable.