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 randomlydividing 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 bivariatemodel using OLS, will her estimates of beta0 and beta1 be unbiased? Why or why not?examscore_i=beta0+beta1*hrsstudy_i+u_iNo, 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 variables 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. She collects a random sample of observational data on students in 2019. Her data contain the number of hours studentsstudy per week and their final microeconomics exam scores. If she estimates the following bivariate model using OLS, will her estimates of beta0 and beta1 be unbiased? Why or why not?examscore_i=beta0+beta1+hrsstudy_i+u_iNo, because exam scores are unlikely to be normally distributed.No, because there are likely omitted variables in u_i that are correlated with hours spent studying and student exam scores.Yes, because she collected a random sample.Yes, because the OLS estimation method gives the causal effect of X on Y.Yes, because there are unlikely to be outlier observations in exam scores or hours spent studying.No, because there is likely to be no relationship between studying and exam scores.

In this question option 5 is correct (No because there are likely omitted variables in u_ that are…

Answered: Suppose a professor wants to know how…

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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For a two-factor ANOVA with two levels of factor A, two levels of factor B, and a separate sample of n = 5 participants in each treatment condition, the two means for level A1 are 6 and 8, and the two means for level A2 are 6 and 10. For these data, what is the value of SSB?
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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation Ŷ=42.80-0.53x. This line is shown in the scatter plot below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)

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