Regression analysis is a quantitative research tool that is used to model and analyse multiple variables in a dependent-independent relationship in order to create the most accurate forecast. These models do not forecast the real value of the data due to uncertainty. As a result, fuzzy regression is critical in overcoming or addressing this type of problem. In this chapter, the authors presented a comparative study of LR models and LR models using fuzzy data and real experimental data. The computational results demonstrate the best linear models for the data set.

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