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What is Linear regression?
Linear regression is a part of the statistics that explains a method to know the relationship between explanatory variables and dependent variable which is a scalar. This is used for describing modeling of relationship. Moreover, explanatory variables are used in either one or more. In case of a single explanatory the term is known as simple linear regression and when it is more than one, then it is known as multiple linear regressions. The model is created to make the program perfect for the readers to understand.
A lot of applications are there for you to know the linear regression in a proper way. Some known and proper applications can be availed in the field of Trend line, Epidemiology, Environmental science, Finance and Economics. The experts can take assumptions in the field of predictor variables.
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