1. Suppose you are interested in the effect of class attendance on college performance,and plan to estimate the following model: colGPA= a Battendance+ u,wherecolGPA is current GPA and attendance is a student's class attendance rage (percentageof classes attended among all the classes he or she needs to attend) Due to lack ofinformation, students' inherent laziness is omitted from the regression. Assume thatlazier students tend to have a lower attendance rate. OLS estimator of the coefficientfor attendance will most likelya) be biased away from zero, so that the impact of attendance on colGPA isoverestimatedb) be biased toward zero, so that the impact of attendance on colGPA isunderestimatedc) be unbiased.d) be biased, but not enough information to determine if the impact is overestimatedor underestimated

According to the provided information, the lazier students tend to have a lower attendance rate. So,…

Answered: 1. Suppose you are interested in the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Data on 220 reported crimes is collected from district X in 2016. Suppose CS denotes the total cost to the state of offering crime protection services to this district (in thousand dollars), LEOP denotes the number of law enforcement officers on patrol, DTP denotes the damage to public and private property (in thousand dollars), CCTV denotes the number of CCTV cameras installed in the district, and Prison denotes the number of prison inmates The following table shows the results of a few regressions of the total cost to the state. Dependent variable: total cost to the state (in thousand dollars) Regressor (1) (2) (3) (4) 12.32 17.99 14.55 18.1 LEOP (0.52) (0.84) (2.25) (0.82) 0.73 0.59 0.75 DTP (0 12) (0.04) 0.73 (0.06) CCTV (0.13) 2.11 2.12 (0.39) 288.5 (4 14) Prison (0.5) 182.5 191.6 219.95 Intercept (11.52) (6.68) (5.26) 0.64 0.75 0.12 0.75 R 220 220 220 220 Heteroskedasticity-robust standard errors are given in parentheses under coefficients. Which of the following statements…
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