n least squares regression, the residuals e1, e2, . . . , en will always have a zero mean. group starts. True or false

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n least squares regression, the residuals e1, e2, . . . , en will always have a zero mean. group starts. True or false

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The residuals e1, e2,..., en will always have a zero mean in least squares regression. fake group starts

False. The residuals may not have a zero mean, depending on the data used in the regression.

Least squares regression is a type of linear regression that is used to determine the best fit line for a given set of data points. The residuals in this type of regression are the differences between the actual values of the data points and the predicted values of the data points based on the model. While the sum of the residuals should be zero, the mean of the residuals may not necessarily be zero, depending on the data used in the regression.

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