Know how to determine which

**variable**is a response and which is an explanatory in a regression equation, Understand that correlation measures the strength of a linear**relationship between two variables**, Realize how outliers can influence a regression equation, and. Determine if**variables**are categorical or quantitativeThereof, what is a correlation of data?

When two sets of

**data**are strongly linked together we say they have a High**Correlation**. The word**Correlation**is made of Co- (meaning "together"), and Relation.**Correlation**is Positive when the values increase together, and.**Correlation**is Negative when one value decreases as the other increases.What is correlation relationship?

**Correlation**and Causal

**Relation**. A

**correlation**is a measure or degree of

**relationship**between two variables. A set of data can be positively

**correlated**, negatively

**correlated**or not

**correlated**at all. As one set of values increases the other set tends to increase then it is called a positive

**correlation**.

Is a correlation significant?

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.