Consider a simple linear regression model without the intercept yi xi i , i 1, 2, , n, where i N(0, 2 ) (a) Derive the least squared estimator of We denote it by (b) Show that is unbiased 1 (c) Derive Var() Consider a simple linear regression model without the intercept yi xi i , i 1, 2, , n, where i N(0, 2 ) (a) Derive the least squared estimator of We denote it by (b) Show that is unbiased 1 (c) Derive Var()

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Consider a simple linear regression model without the intercept  yi   xi   i , i   1, 2,    , n, where i N(0, 2 )  (a) Derive the least squared estimator of   We denote it by   (b) Show that is unbiased  1 (c) Derive Var()  Consider a simple linear regression model without the intercept  yi   xi   i , i   1, 2,    , n, where i N(0, 2 )  (a) Derive the least squared estimator of   We denote it by   (b) Show that is unbiased  1 (c) Derive Var()

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Question: Consider a simple linear regression model without the intercept: yi = xi + i , i = 1, 2, ..., n, where i N(0, 2

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