For which of the following models, the formula y = exp(b_o + b_x +) for finding

Question

For which of the following models, the formula y = exp(b_o + b_x +) for finding the predicated value of y is used? a). y = beta_0 beta_1 x + c b). In(y) = beta_2 beta_1 In(x) + c c). In (y) = beta_0 + beta_2 x + c d) y = beta_2 + beta_1 In(x) + c When the predicted value of the response variable has to be found, in which of the following two models, is there a need for the standard error correction? a). Linear and Log-Log b). Log-Log and Logarithmic c). Logarithmic and Linear d). Log-Log and Exponential The log-log and exponential models were used to fit given data on (y) and (x), and the following table summarizes the regression results. Which of the two models provides a better fit? a). The log-log model. b). The exponential model. c). The models are not comparable. d). The provided information is not sufficient to make the conclusion. The quadratic and logarithmic models were used to fit given data on (y) and (x), and the following table summarizes the regression results. Which of the two models provides a better fit? a). The logarithmic model. b). The quadratic model. c). The models are not comparable. d). The provided information is not sufficient to make the conclusion.

Explanation / Answer

14. Correct Answer: option (C)
15. Correct Answer: option (C)
16. Correct Answer: option (B)
Since R^2 of exponential model is higher than that of log-log models is
17. Correct Answer: option (B)
Since R^2 of Quadratic mode is higher than that of log-log models is

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