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Considering the Linear Regression model has been given it will give us an expected value for a certain set of features in data. The difference between the expected and the actual value is defined on some exogenous factor, this exogenous factor is often termed as error term.
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Considering the Linear Regression model has been given it will give us an expected value for a certain set of features in data. The difference between the expected and the actual value is defined on some exogenous factor, this exogenous factor is often termed as error term.
Error term is the difference between the actual vale and predicted value.