professor decides to run an experiment to measure the effect of time pressure on final exam scores. He gives each of th...
2. (Based on Stock & Watson "Introduction to Econometrics 6th ed., Exercise 4.5.) A professor decides to run an experiment to measure the effect of time pressure on final exam scores. He gives each of the 400 students in her course the same final exam, but some students have 90 minutes to complete the exam, while others have 120 minutes. Each student is randomly assigned one of the examination times, based on the flip of a coin. Let y denote...
Instructor Chain L Course: EC0 4000 Spring 201 Assignment FlPa the effect of ime pressure on final exam soores He gives each of the 400 ane fnal exam but some stuterts have 90 minules to complete the others ave 120 the number of 200, and consider mo regresuon model exwn (X'-90 or of the kutowing are tve about the unobservable u,? (Check ai hat apply etudents w necessarily have the same value of u, because they are part of the...
Number of Absences Number of Absences Exam Scores vs. Absences Exam Scores vs. Absences Final Exam Score Final Exam Score G 3 6 10 4 Number of Absences Number of Absences (e) Would it be reasonable to use the least-squares regression line to predict the final exam score for a student who has missed 15 class periods? Why or why not? O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a...
the data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam. What is the best predicted value for the exam score for a student who stuided 2 hours? Assume that the varibles x and y have a significant correlation. Question 10 1 pts The data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam....
In Professor Friedman's economics course the correlation between the students' total scores before the final examination and their final examination scores is r = 0.66. The pre-exam totals for all students in the course have mean 265 and standard deviation 39. The final exam scores have mean 90 and standard deviation 11. Professor Friedman has lost Julie's final exam but knows that her total before the exam was 320. He decides to predict Julie's final exam score from her pre-exam...
In Professor Friedman's economics course the correlation between the students' total scores before the final examination and their final examination scores is r-0.56. The pre-exam totals for all students in the course have mean 286 and standard deviation 28, The final exam scores have mean 90 and standard deviation 9. Professor Friedman has lost Julie's final exam but knows that her total before the exam was 320, He decides to predict Julie's final exam score from her pre exam total. Question...
please answer this economics question completely..thank you its urgent. a. III- (5pts) In an econometrics course, the relationship between the expected score earned by students s related to the time in minutes) spent taking it, according to the following model: E(Score/Time) = 49+0.24Time What is the estimated effect of an additional 10 minutes on a student's score? b. Find the expected Score for a student who is given 120 minutes to complete the exam. (1pt) c. If the student in...
Professor Gill has taught General Psychology for many years. During the semester, she gives three multiple-choice exams, each worth 100 points. At the end of the course, Dr Gil gives a comprehensive alworth 200 poset, and represent students scores on exams 1, 2, and respectively. Let X represent the student's score on the final exam. Last semester De Gil had 25 students in her cess. The student exam scores are shows below 73 75 152 93 185 91 90 180...
What is the relationship between the amount of time statistics students study per week and their test scores? The results of the survey are shown below. Time 13 10 9 9 2 10 12 8 Score 84 83 90 76 74 86 99 85 x-values y-values Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? r ρ μ == 0 H1:H1: ? μ ρ r ≠≠ 0 The p-value is: (Round to...
A nationwide, standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict academic performance in college from scores on this test. We have chosen a random sample of 47 students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from 400 to 1600) and her grade point average (on a four point scale) for her first year in...