Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias. O a. False O b. True QUESTION 30 Adding more observations will typically increase the sum of squared residuals. O a. False O b. True QUESTION 31 X ("x-bar") is used to refer to the population average of the variable x. True False QUESTION 32 Pooling (i.e. combining) two cross sectional datasets leads to an increase in sample size. O True False

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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QUESTION 29
Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias.
a. False
O b. True
QUESTION 30
Adding more observations will typically increase the sum of squared residuals.
a. False
O b. True
QUESTION 31
X ("x-bar") is used to refer to the population average of the variable x.
True
False
QUESTION 32
Pooling (i.e. combining) two cross sectional datasets leads to an increase in sample size.
True
False
Transcribed Image Text:QUESTION 29 Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias. a. False O b. True QUESTION 30 Adding more observations will typically increase the sum of squared residuals. a. False O b. True QUESTION 31 X ("x-bar") is used to refer to the population average of the variable x. True False QUESTION 32 Pooling (i.e. combining) two cross sectional datasets leads to an increase in sample size. True False
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