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Linear regression and correlation are utilized to locate the list of values in linear equations and predict information dependant on variables.

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Conversely, linear regression estimates the parameters inside the equation that you can use to predict the values of 1 variable depended on the other. In correlation & regression, we protect subject areas for instance;

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