A variable transformation in a regression (e.g., replacing Y with log(Y)) Multiple Choice A. leads to...
A variable transformation in a regression (e.g., replacing Y with log(Y))
Multiple Choice
A. leads to severe autocorrelation.
B.makes the model easier to interpret.
C. changes the model specification.
D. may reduce heteroscedasticity.
Homework Answers
Option c & d
Option c because the scale of independent variable has been changed...so necessary changes would occur in the model
Option d because in many cases of variable transformation,log transform helps heteroscedastic model to become homoscedastic.
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A variable transformation in a regression (e.g., replacing Y
with log(Y))
Multiple Choice
A. leads to...
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Decide (with short explanations) whether the following
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Decide (with short explanations) whether the following
statements are true or false.
e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary statisties z-10, s/-3 sy-5 and у-20. For a new data point with x = 13, it is possible that the predicted value is y = 26. f A standard multiple regression model with continuous predictors and r2, a categorical predictor T with four values, an interaction between a and...
The logarithmic and log log models. У = 60 + 611n(x) + ε and In (y) -6e + a1 1n (x) provides a better fit? were fit given data on y and x. and the following table summarizes the regression results. Which of the two models ε Log-Log Model 0.75 1.08 Variable Intercept In(x) Logarithmic Model 1.38 9.79 R2 0.88 0.85 8.87 0.84 Adjusted R Multiple Choice The models are comporable. The provided informstion is not sufficient to make the...
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