(Requires Advanced material)Only one of the following models can be estimated by OLS: A)Y = AK^?L^? + u. B)Pr(Y = 1 | X)= ?(?₀ + ?₁X) C)Pr(Y = 1 | X)= F(?₀ + ?₁X)= $\frac { 1 } { 1 + e ^ { - \left( \beta _ { 0 } + \beta _ { 1 } X \right) } }$ D)Y = AK^{? L?u}.

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Model D is a linear model, which can be estimated by Ordinary Least Squares (OLS). The other options are either non-linear or involve probabilities, which are not suitable for OLS estimation.

(Requires Advanced Material)Only One of the Following Models Can Be 11+e−(β0+β1X)\frac { 1 } { 1 + e ^ { - \left( \beta _ { 0 } + \beta _ { 1 } X \right) } }1+e−(β0​+β1​X)1​

(Requires Advanced Material)Only One of the Following Models Can Be $\frac { 1 } { 1 + e ^ { - \left( \beta _ { 0 } + \beta _ { 1 } X \right) } }$