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Using R Q3: Consider an alternative model y=0+1x+, where follows a normal distribution N(0,1). The following function defines the log-likelihood of the model parameters (0,1)

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Q3: Consider an alternative model y=0+1x+, where follows a normal distribution N(0,1). The following function defines the log-likelihood of the model parameters (0,1) given data. Please show that the maximum likelihood estimator (MLE) for this model is equivalent to the estimates in Q1 and Q2 (Hints: you may use the function optim() in HW1 to search for MLE, but mind the setting of fnscale if you use this function). (15\%)

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