The OLS regression of infant birth weight (BWT) on the mother's age (AGE) and years of mother's education (EDU) is: BWT^=2600+2.3AGE+26EDU, with standard errors (97), (3.5), (8) below the estimated coefficients. Sample size is 1000 and R-squared is 0.015. Sample information: BWT mean 3000, sd 500; AGE mean 25, sd 5; EDU mean 10, sd 2. A one standard deviation change in AGE is associated with an x standard deviation change in birth weight, where x is
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The OLS regression of infant birth weight (BWT) on the mother's age (AGE) and years of mother's education (EDU) is: B̂ŴT̂=2600+2.3 AGE+26 EDU, with standard errors (97), (3.5), (8) below the estimated coefficients. Sample size is 1000 and R-squared is 0.015. Sample information: BWT mean 3000, sd 500; AGE mean 25, sd 5; EDU mean 10, sd 2. A one standard deviation change in AGE is associated with an x standard deviation change in birth weight, where x is (A) 0.046 (B) 0.007 (C) 0.023 (D) 0.035
Also written as: The OLS regression of infant birth weight (BWT) on the mother's age (AGE) and years of mother's education (EDU) is: BWT_hat=2600+2.3 AGE+26 EDU, with standard errors (97), (3.5), (8) below the estimated coefficients. Sample size is 1000 and R-squared is 0.015. Sample information: BWT mean 3000, sd 500; AGE mean 25, sd 5; EDU mean 10, sd 2. A one standard deviation change in AGE is associated with an x standard deviation change in birth weight, where x is
Linear regression and OLS has come up 74 times in 7 exams since 2008.
What this question tests
This question is on Interpreting slopes, intercepts and rescaling, part of Linear regression and OLS in Econometrics.
Reading a fitted coefficient, and what changes when variables are rescaled.
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