Two linear regression models are fitted using software and below is their R2 and adjusted R2...
Two linear regression models are fitted using software and below is their R2 and adjusted R2 values. Which of the two models fits the data better? Why does it fit the model better?
In order from
Model, R specification, R2, Adjusted R2 Model
Model 1 : Y ∼ X1 + X3, 0.91, 0.84
Model 2 : Y ∼ X1 + X2, 0.88, 0.86
Homework Answers
Ans:
We chhose model with high adjusted R^2,as it indicates the goodness of fit of the model for the multiple regression.
Correct option is:
Model 2 : Y ∼ X1 + X2, 0.88, 0.86
(As,adjusted R^2 is higher)
Add Answer to:
Two linear regression models are fitted using software and below
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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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