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Consider the linear model Yi = beta_0 + epsilon_i, where epsilon_1,...,epsilon_n ~ iid N(0, sigma^2). Suppose this is a model for a simple random sample

Consider the linear model Yi = beta_0 + epsilon_i, where epsilon_1,...,epsilon_n ~ iid N(0, sigma^2). Suppose this is a model for a simple random sample of n observations from a population having beta_0 and variance sigma^2. The matrix form of this model is Y = XBeta + Epsilon. Give the X matrix for this model

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