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3. Consider a liner regression model with p + 1 parameters based on n observations. Provide two properties of the least squares estimate (LSE) when

3. Consider a liner regression model with p + 1 parameters based on n observations. Provide two properties of the least squares estimate (LSE) when p + 1 S n, and explains carefully what happens to the LSE when when p + 1 > n

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