For a positive association, \(r>0\), for a negative association \(r This is also known as an indirect relationship.Ī bivariate outlier is an observation that does not fit with the general pattern of the other observations. For example, as values of x get larger values of y get smaller. The linear relationship between two variables is negative when one increases as the other decreases. This is also known as a direct relationship. The linear relationship between two variables is positive when both increase together in other words, as values of x get larger values of y get larger. This occurs when the line-of-best-fit for describing the relationship between x and y is a straight line. In this class, we will focus on linear relationships. When examining a scatterplot, we need to consider the following: Scatterplot A graphical representation of two quantitative variables in which the explanatory variable is on the x-axis and the response variable is on the y-axis.
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