Question 7. The estimated goodness of fit of the regression is R2 = 0.5. According to the regression output, we can infer that: (a) The correlation between Log of Wage yi and its fitted values yˆi is −0.5 (b) The correlation between Log of Wage yi and its fitted values yˆi is 0.5 (c) The correlation between Log of Wage yi and its fitted values yˆi is + √0.5 (d) The correlation between Log of Wage yi and its fitted values yˆi is − 0.5 (e) The correlation between Log of Wage yi and its fitted values yˆi is 0.5^2
Question 7. The estimated goodness of fit of the regression is R2 = 0.5. According to the regression output, we can infer that: (a) The correlation between Log of Wage yi and its fitted values yˆi is −0.5 (b) The correlation between Log of Wage yi and its fitted values yˆi is 0.5 (c) The correlation between Log of Wage yi and its fitted values yˆi is + √0.5 (d) The correlation between Log of Wage yi and its fitted values yˆi is − 0.5 (e) The correlation between Log of Wage yi and its fitted values yˆi is 0.5^2
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question 7. The estimated goodness of fit of the regression is R2 = 0.5. According to the regression output, we can infer that:
(a) The
(b) The correlation between Log of Wage yi and its fitted values yˆi is 0.5
(c) The correlation between Log of Wage yi and its fitted values yˆi is + √0.5
(d) The correlation between Log of Wage yi and its fitted values yˆi is − 0.5
(e) The correlation between Log of Wage yi and its fitted values yˆi is 0.5^2
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