For example, a modeller might want to relate the weights of individuals to their heights using the concept of linear regression. In this concept, one variable is considered to be an explanatory variable, and the other variable is considered to be a dependent variable. Linear regression is known to be the most basic and commonly used predictive analysis. Linear regression formula helps to define this linear relation that is present between the two quantities and how they are interdependent. If these two quantities are further plotted on a graph, it is observed that there is a linear relation between them. ![]() Ever been to a shop and have noticed how the size of an object directly affects its price as well? Well, a relation is seen when two quantities are compared and there is either an increase or decrease in the value of both of them or it can also be that one quantity increases while the other decreases and vice versa.
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