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Linear Regression Study:
Linear regression line with an addition of standard error channel projection.
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. For example, a modeler might want to relate the weights of individuals to their heights using a linear regression model.
Two things to pay attention to:
Author: Mladen Rakic