Which of the following is not true with respect to the error

Which of the following is not true with respect to the error in a least squares linear regression? The sum of squares due to error is minimized by the least squares method. The mean value of the error is 0. mThe error for the observation is equal to y_i - j^_i The error will be negative when the observed value of y_i is smallerthan the predicted value

Solution

Answer to the question)

The following points are true about the error

Thus statements b , c and d are correct

The only incorrect statement is A

 Which of the following is not true with respect to the error in a least squares linear regression? The sum of squares due to error is minimized by the least sq

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