Correlation Patterns: Correlation patterns refer to the direction (positive or negative) and strength (strong or weak) of the relationship shown in a scatterplot.
Explanatory Variable: The explanatory variable is the independent variable in a scatterplot, which is used to explain or predict changes in the dependent variable. For example, in our previous analogy, the number of hours studied would be the explanatory variable.
Response Variable: The response variable is the dependent variable in a scatterplot, which is affected by changes in the explanatory variable. In our analogy, test scores would be considered as the response variable.