The coefficient of determination measures the variation in the dependent variable that is explained by the regression model. 3. If your computed correlation coefficient is r = +1.2, then you have better than a perfect positive correlation. 4. A student might expect that there is a positive correlation between the age of his or her computer and its resale value. 5. In simple regression analysis, if the slope of the line is positive, then there is a positive correlation between the dependent variable y and the independent variable x. 6. The variable that is being predicted in regression analysis is the independent variable.