1. Which of the following is known as multicillinearity A. low R2 B. high R2 C....
1. Which of the following is known as multicillinearity
A. low R2
B. high R2
C. too many explanatory variables
D. high degree of correlation among two or more explanatory
variables
2. The R2 of an estimated Regression equation indicates
A. goodness of fit
B. the per cent of variance explained
C. both first and second choice
D. second choice only
3. The long run ATC is flatter in shape because
A. all inputs are fixed
B. there is a greater degree of substitution between inputs
C. input elasticity is limited
D. the long run is undefined
Homework Answers
Solution1 : D) high degree of correlation among two Or more explanatory variables.
Solution2 : c) both first and second choice
Solution 3: B) greater degree of substitution between inputs
Add Answer to:
1. Which of the following is known as multicillinearity
A. low R2
B. high R2
C....
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6. Which of the following is false regarding the R2 term? a) R2 measures the goodness of fit of a model b) R2 measures how much of the variation in the dependent variable is explained by variation in the independent variable. c) R² measures the significance level of the slope coefficient B1 d) A larger Rº means a better fit of the model, all else equal
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