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Consider the simple regression Y = β1 + β2 · log(x) + ε and let ˆb2 be the OLS estimate of β2. The interpretation of coefficient ˆb2 is best described by (mark the correct statement): (a) A 1% change in x leads to (approximately) a ˆb2% change in y (b) A 1 unit change in x leads to (approximately) a ˆb2 change in y (c) A 1 unit change in x leads to (approximately) a 2 · ˆb2 change in y (d) A 1 unit change in x leads to (approximately) a 100ˆb2% change in y (e) A 1% change in x leads to (approximately) a ˆb2/100 unit change in y

Consider the simple regression Y = β1 + β2 · log(x) + ε and let ˆb2 be the OLS estimate of β2. The interpretation of coefficient ˆb2 is best described by (mark the correct statement): (a) A 1% change in x leads to (approximately) a ˆb2% change in y (b) A 1 unit change in x leads to (approximately) a ˆb2 change in y (c) A 1 unit change in x leads to (approximately) a 2 · ˆb2 change in y (d) A 1 unit change in x leads to (approximately) a 100ˆb2% change in y (e) A 1% change in x leads to (approximately) a ˆb2/100 unit change in y

Advanced Engineering Mathematics
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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Consider the simple regression Y = β1 + β2 · log(x) + ε and let ˆb2 be the OLS estimate of β2. The interpretation of coefficient ˆb2 is best described by (mark the correct statement):

(a) A 1% change in x leads to (approximately) a ˆb2% change in y (b) A 1 unit change in x leads to (approximately) a ˆb2 change in y

(c) A 1 unit change in x leads to (approximately) a 2 · ˆb2 change in y (d) A 1 unit change in x leads to (approximately) a 100ˆb2% change in y

(e) A 1% change in x leads to (approximately) a ˆb2/100 unit change in y

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