Suppose a professor wants to know how the time spent studying affects student performance on microeconomic exams in college. She uses her class as a convenience sample, and she implements a randomized controlled trial by randomly dividing her class into a treatment and a control group to answer this question. Her experimental data contains the number of hours students study per week and their final microeconomics exam scores. If she estimates the following bivariate model using OLS, will her estimates of betao and betal be unbiased? Why or why not? examscore ibeta0-beta1*hrsstudy_i+u_ No, because exam scores are unlikely to be normally distributed. Yes, because she conducted a randomized controlled trial. Yes, because there are unlikely to be outlier observations in exam scores or hours spent studying No, because she didn't collect a random sample from the population of interest. No, because there is likely no relationship between study time and exam scores. Yes, because the OLS estimation method gives the causal effect of X on Y. No, because there are likely omitted variabies in u_i that are correlated with hours spent studying and student exam scores.

Suppose a professor wants to know how the time spent studying affects student performance on microeconomic exams in college. She uses her class as a convenience sample, and she implements a randomized controlled trial by randomly dividing her class into a treatment and a control group to answer this question. Her experimental data contains the number of hours students study per week and their final microeconomics exam scores. If she estimates the following bivariate model using OLS, will her estimates of betao and betal be unbiased? Why or why not? examscore ibeta0-beta1*hrsstudy_i+u_ No, because exam scores are unlikely to be normally distributed. Yes, because she conducted a randomized controlled trial. Yes, because there are unlikely to be outlier observations in exam scores or hours spent studying No, because she didn't collect a random sample from the population of interest. No, because there is likely no relationship between study time and exam scores. Yes, because the OLS estimation method gives the causal effect of X on Y. No, because there are likely omitted variabies in u_i that are correlated with hours spent studying and student exam scores.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 8SGR

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