Questions:

Helpful reminders about correlations:

The correlation between the variables is shown through a value that goes from -1.00 to +1.00. This value is called the correlational coefficient. When the correlational coefficient is close to +1.00, there is a positive correlation between the variables. In other words, an increase in X accompanies an increase in Y. When the correlational coefficient is close to -1.00, there is a negative correlation between the variables or an increase in X is followed by a decrease in Y. And when the correlational coefficient is close to 0.00 there is no relationship between the variables. The closer the value is to +1.00 or -1.00, the strongest the relationship is.

For each of the correlational graphs 1-5 below (start first row left to right, second row left to right) do the following:

1. Provide a possible explanations for the finding (i.e., outcome, correlation), but first, choose two variables of your own interest. Then...
2. Decide whichvariable is X and which is Y.
3. Decide whether a correlationexist.
4. If acorrelation exists, decide the strength of the correlation.
5. If acorrelation exists, provide the correlationcoefficient.
6. If acorrelation exists, decide the direction (positive or negative)of the correlation.