Homework Help is Here – Start Your Trial Now!
Business
Economics
Suppose you nun a regression of test scores against parking lot area per pupil. Is the R kely to be high or low? OA Low, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income OB. Low, Because the relationship between test scores and parking lot area per pupil is a causal relationship OC. High, Because the relationship between test scores and parking lot area per pupil is a causal relationship OD. High, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income Are the OLS estimators lkely to be biased and inconsistent? OA The OLS estimators are lkely to be biased and inconsistent because the R is probably not sufficiently high OB. The OLS estimators are kely to be unbiased and consistent because the Ris probably suficiently high OC. The OLS estimators are lkely unbiased and consistent because there are no omited variables correlated with parking lot area per pupi that also explain test scores OD The OLS estimators are likely biased and inconsistent because there are omited variables correlated with parking lot area per pupil that also explain test scores, such as ability

Suppose you nun a regression of test scores against parking lot area per pupil. Is the R kely to be high or low? OA Low, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income OB. Low, Because the relationship between test scores and parking lot area per pupil is a causal relationship OC. High, Because the relationship between test scores and parking lot area per pupil is a causal relationship OD. High, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income Are the OLS estimators lkely to be biased and inconsistent? OA The OLS estimators are lkely to be biased and inconsistent because the R is probably not sufficiently high OB. The OLS estimators are kely to be unbiased and consistent because the Ris probably suficiently high OC. The OLS estimators are lkely unbiased and consistent because there are no omited variables correlated with parking lot area per pupi that also explain test scores OD The OLS estimators are likely biased and inconsistent because there are omited variables correlated with parking lot area per pupil that also explain test scores, such as ability

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 5E
See similar textbooks
icon
Related questions
Question

1

Mthk Set 6- Hypothesis Suppose you run a regression of test scores against parking lot area per pupil. Is the R ikely to be high or low? OA Low, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income. OB. Low, Because the relationship between test scores and parking lot area per pupil is a causal relationship. OC. High, Because the relationship between test scores and parking lot area per pupil is a causal relationship. OD. High, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income. Are the OLS estimators likely to be biased and inconsistent? OA The OLS estimators are likely to be biased and inconsistent because the R is probably not sufficiently high. OB. The OLS estimators are likely to be unbiased and consistent because the R is probably sufficiently high. O C. The OLS estimators are lkely unbiased and consistent because there are no omitted variables correlated with parking lot area per pupil that alsO explain test scores OD. The OLS estimators are likely biased and inconsistent because there are omitted variables correlated with parking lot area per pupil that also explain test scores, such as ability
Transcribed Image Text:Mthk Set 6- Hypothesis Suppose you run a regression of test scores against parking lot area per pupil. Is the R ikely to be high or low? OA Low, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income. OB. Low, Because the relationship between test scores and parking lot area per pupil is a causal relationship. OC. High, Because the relationship between test scores and parking lot area per pupil is a causal relationship. OD. High, because parking lot area is correlated with student-teacher ratio, with whether the school is in a suburb or a city, and possibly with district income. Are the OLS estimators likely to be biased and inconsistent? OA The OLS estimators are likely to be biased and inconsistent because the R is probably not sufficiently high. OB. The OLS estimators are likely to be unbiased and consistent because the R is probably sufficiently high. O C. The OLS estimators are lkely unbiased and consistent because there are no omitted variables correlated with parking lot area per pupil that alsO explain test scores OD. The OLS estimators are likely biased and inconsistent because there are omitted variables correlated with parking lot area per pupil that also explain test scores, such as ability
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Managerial Economics: Applications, Strategies an…
Managerial Economics: Applications, Strategies an…
Economics
ISBN:
9781305506381
Author:
James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:
Cengage Learning
SEE MORE TEXTBOOKS