Introduction Various studies always depend on the relationships between two independent variables to make informed decisions on problem statements. Such relationships could be linear or nonlinear relationships, and univariate or multivariate relationships. In a linear relationship, two independent variables tend to have a relationship that can be plotted on a straight line. Thus, establishing whether independent variables are related is important to scholars and professionals in different fields. Consider the following example; in determining the effect of advertising on the number of sales, an analyst from company A plotted a graph of sales against the number of adverts. The output of the graph was a straight line indicating that an increase in the number of adverts leads to an increase in the number of sales. This reveals that identifying the relationship between two variables is an important statistical technique
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