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2. Now consider the linear regression model with no intercept (no f3y): yi = Bz + , with ; i N(0.02) for i=1,2,3,...n. This is
2. Now consider the linear regression model with no intercept (no f3y): yi = Bz + , with ; i N(0.02) for i=1,2,3,...n. This is the same as having y; e N(B1z;, 02) for i=1,2,3,...n. a. Find the maximum likelihood estimate (MLE) for 3;. b. Omitting B from the model imposes a particular constraint on the types of lines that can be estimated. Describe the differences between the model that does not include 5y and the model that does include f. c. Explain why the MLE estimate of 3; is the same as the estimate obtain from the least squares method of linear regression
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