Simple Linear Regression Simple linear regression is used to find out the best relationship between a single input variable (predictor, independent variable, input feature, input parameter) & output variable (predicted, dependent variable, output feature, output parameter) provided that both variables are continuous in nature. This relationship represents how an input variable is related to the output variable and how it is represented by a straight line. After looking at scatter plot we can understand: The direction The strength The linearity The above characteristics are between variable Y and variable X. The above scatter plot shows us that variable Y and variable X possess a strong positive linear relationship. Hence, we can project a straight line which can define the data in the most accurate way possible. If the relationship between variable X and variable Y is strong and linear, then we conclude that particular independent variable X is the effective input var...
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