When analyzing relationships between two variables, we can tell from the values whether a positive relationship is found or whether the variables are negatively related. A positive relationship, indicates that the values change in the same direction; high values on one variable are associated with high values , and conversely, low values on one are associated with low values on the other. An example of this relationship would be the relationship between years of education and the salary. Another would be level of educational attainment and income. A negative relationship implies that the values change in the opposite direction; high values on one variable are associated with low values on the other. An example of this would be high unemployment rates in a community and low levels of social control within that community. Direction cannot be assigned when both variables in a table are dichotomous because directionality of the relationship can only be assigned to ordinal or interval-ratio, dichotomous variables are nominal.
This internet resource is pretty straightforward in describing possible relationships between variables. The graphics and videos add to my understanding by providing a visual depiction of the directionality of relationships rather than just reviewing the numbers in a table as in the book. One can clearly see how the variable values either go up or down together or are inversely related.