The log likelihood function for the linear regression model with normally distributed disturbances is shown in Example
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The log likelihood function for the linear regression model with normally distributed disturbances is shown in Example 4.6. Show that at the maximum likelihood estimators of b for β and e'e/n for σ2, the log likelihood is an increasing function of R2 for the model.
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The log likelihood function at the maximum is Since R ...View the full answer
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