(Solved): Consider the following population regression model: \[ Y_{i}=\beta_{0}+\beta_{1} \log \left(X_{1 i ...

Consider the following population regression model: \[ Y_{i}=\beta_{0}+\beta_{1} \log \left(X_{1 i}\right)+\beta_{2} \log \left(X_{2 i}\right)+\epsilon_{i}, i=1, \ldots, N \] Consider the following population regression model: \[ Y_{i}=\beta_{0}+\beta_{1} \log \left(X_{1 i}\right)+\beta_{2} \log \left(X_{2 i}\right)+\epsilon_{i,} i=1, \ldots, N \] This model is linear in the variables. This model is nonlinear in the variables. This model's parameters can not be estimated by OLS. This model's parameters can be estimated by OLS. Both (b) and (d) are correct answers.