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1. Maximum likelihood estimation finds the values of the parameters which maximise the probability of obtaining the data. 2. In the case of the linear

1. Maximum likelihood estimation finds the values of the parameters which maximise the probability of obtaining the data. 2. In the case of the linear regression model, the MLE parameter estimates are the same as those obtained from least squares. A. 1 and 2 are both true B. 1 is true but 2 is false. C. 1 is false but 2 is true. D. 1 and 2 are both false

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