i. Y_i = b_0^2 + (1/b_0) * X_1i + u_i ii. ln(Y_i) = b_0 + b_1...

Note that _ indicates a subscript, ^ indicates a superscript (power), ln indicates the natural logarithm, and exp denotes the exponential function. You should interpret b as beta.

(b) Which model(s) have parameters (betas) that can be estimated using OLS indirectly – i.e., by transforming the model in some way? Explain. (Hint, try taking the natural log of both sides.)

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orchestra answered 1 year ago

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