If you have calculated the Pearson Product-Moment Correlation Coefficient
AND if you see a linear correlation (positive or negative) when you
plot your data using a scatter graph, you can then predict values
outside of the sample by using a

**Linear Regression analysis**, or "line of best fit" (above).CAUTION: if you see any "outliers", you can NOT perform a Linear Regression Analysis

The
equation of the "line of best fit" is given by the formula y = Rx + b
where: R is the Pearson Product-Moment Coefficient and b is the "intercept" (the
"height" where the red line to the left crosses the vertical axis). To
calculate the intercept, simply replace x and y by the means of both
samples, and calcute b = y - Rx

Alternatively, you can also use EXCEL to draw the "line of best fit" AND obtain the linear regression equation very easily (see video below).

Once you have established the Linear Regression equation, you can calcute and y if you have an x, or vice versa.

Alternatively, you can also use EXCEL to draw the "line of best fit" AND obtain the linear regression equation very easily (see video below).

Once you have established the Linear Regression equation, you can calcute and y if you have an x, or vice versa.