| A | B |
|---|
| correlation coefficient | r |
| coefficient of determination | r^2 |
| as x increases y increases | positive correlation |
| as x decreases y increases | negative correlation |
| strong positive linear correlation | .945 |
| strong negative linear correlation | -.888 |
| moderate positive linear correlation | .645 |
| moderate negative linear correlation | -.504 |
| weak positive linear correlation | .321 |
| weak negative linear correlation | -.222 |
| no linear correlation | .015 |
| is the response variables value when the explanatory variable equals 0 | intercept |
| represents an average change when the explanatory variable increases by 1 unit | slope |
| the line the best describes your data | linear regression |
| the plot that may stop you from using a linear regression for your data | residual plot |
| the plot of your data | scatter plot |
| shared by the slope of the regression equation and the correlation coefficient | sign (positive or negative) |
| explanatory variable | independent variable |
| response variable | dependent variable |
| residual | difference between the actual response variable value and the predicted response variable |
