Which of the following are often considered disadvantages of the use of adjusted R2 as a variable addition / variable deletion rule?
(I) Adjusted R2 always rises as more variables are added
(ii) Adjusted R2 often leads to large models with many marginally significant or marginally insignificant variables
(iii) Adjusted R2 cannot be compared for models with different explanatory variables
(iv) Adjusted R2 cannot be compared for models with different explained variables.
A) (ii) and (iv) only
B) (i) and (iii) only
C) (i) , (ii) , and (iii) only
D) (i) , (ii) , (iii) , and (iv) .
Correct Answer:
Verified
Q5: Why is R2 a commonly used and
Q6: Suppose that the value of R2 for
Q7: What would the restricted regression be if
Q8: Use the following to answer questions
Assuming you
Q9: Consider the following regression estimated using
Q11: Which one of the following statements
Q12: If our regression equation is y
Q13: Use the following to answer questions
Assuming you
Q14: Which of these statements is a characteristic
Q15: Which of these statements is not true
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents