In Professor Friedman's economics course the correlation between the students' total scores before the final examination...
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 total.
Question 1. Calculate the slope and intercept of the least squares regression line where the x-variable is pre-exam total score and the y-variable is final exam score.
Question 2. What is the value of Julie's final exam score predicted by the least squares regression line?
Question 3. Julie complains to Professor Friedman that her final exam score could have been much higher than what is predicted by the least squares regression line. Calculate the proportion of the variation in final exam scores that is explained by the linear relationship between pre-exam scores and final exam scores. (Express your answer as a decimal, not as a percent).
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In Professor Friedman's economics course the correlation between
the students' total scores before the final examination...
In Professor Friedman's economics course the correlation between the students' total scores before the final examination...
In Professor Friedman's economics course the correlation between
the students' total scores before the final examination and their
final examination scores is r = 0.52. The pre-exam totals
for all students in the course have mean 276 and standard deviation
21. The final exam scores have mean 50 and standard deviation 9.
Professor Friedman has lost Julie's final exam but knows that her
total before the exam was 318. 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.
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...
In Professor Krugman's economics course, the correlation between the students' total scores prior to the final...
In Professor Krugman's economics course, the correlation between the students' total scores prior to the final examination and their final-examination scores is r = 0.5. The pre-exam totals for all students in the course have mean 280 and standard deviation 40. The final-exam scores have mean 75 and standard deviation 8. Professor Krugman has lost Julie's final exam but knows that her total before the exam was 300. He decides to predict her final-exam score from her pre-exam total (a)...
What's my grade? In Professor Krugman's economics course the correlation between the students' total scores prior...
What's my grade? In Professor Krugman's economics course the correlation between the students' total scores prior to the final examination and their final-examination scores is r=0.5 The pre-exam totals for all students in the course have mean 280 and standard deviation 8. Professor Krugman has lost Julie's final exam but knows that her total before the exam was 300. He decides to predict her final-exam score from her pre-exam total. What is the slope of the least-square regression line of final-exam...
Solve the problem. 4) 4) The midterm and final exam scores of 10 students in a statistics course ...
Solve the problem. 4) 4) The midterm and final exam scores of 10 students in a statistics course are observed and re in variable X and Y. The observed data yield (a) Find a (b) Find B. (c) Calculate the least squares regression line frormthese data. (d) If a student's midterm score is 75, what is his predicted final exam score? (e) If one has calculated σ-18, what is the 95% confidence interval for Y when the studen midtern score...
A Statistics professor assigned 10 quizzes over the course of the semester.
A Statistics professor assigned 10 quizzes over the course of the semester. He wanted to see if there was a relationship between the total mark of all 10 quizzes and the final exam mark. There were 203 students who completed all the quizzes and wrote the final exam. The standard deviation of the total quiz marks was 15, and that of the final exam was 16. The correlation between the total quiz mark and the final exam was 0.8. Based on...
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A research team collected data on n= 450 students in a statistics course. The observed average...
A research team collected data on n= 450 students in a statistics course. The observed average final examination score was 524, with an observed standard deviation of 127.6 (the divisor in the estimated variance was n-1). The average first examination score was 397, with an observed standard deviation of 96.4. The correlation coefficient between the first examination score and the final examination score was 0.63. a. Report the analysis of variance table and result of the test of the null...
The final exam scores of students taking a statistics course are normally distributed with a population...
The final exam scores of students taking a statistics course are normally distributed with a population mean of 72 and a population standard deviation of 8. If a student taking this statistics course is randomly selected, what is the probability that his/her final exam score is between 60 and 84? A .4332 .9332 C .8664 .1336 Submit Answer
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In Professor Friedman's economics course the correlation between
the students' total scores before the final examination and their
final examination scores is r = 0.52. The pre-exam totals
for all students in the course have mean 276 and standard deviation
21. The final exam scores have mean 50 and standard deviation 9.
Professor Friedman has lost Julie's final exam but knows that her
total before the exam was 318. 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...
In Professor Krugman's economics course, the correlation between the students' total scores prior to the final examination and their final-examination scores is r = 0.5. The pre-exam totals for all students in the course have mean 280 and standard deviation 40. The final-exam scores have mean 75 and standard deviation 8. Professor Krugman has lost Julie's final exam but knows that her total before the exam was 300. He decides to predict her final-exam score from her pre-exam total (a)...
What's my grade? In Professor Krugman's economics course the correlation between the students' total scores prior to the final examination and their final-examination scores is r=0.5 The pre-exam totals for all students in the course have mean 280 and standard deviation 8. Professor Krugman has lost Julie's final exam but knows that her total before the exam was 300. He decides to predict her final-exam score from her pre-exam total. What is the slope of the least-square regression line of final-exam...
Solve the problem. 4) 4) The midterm and final exam scores of 10 students in a statistics course are observed and re in variable X and Y. The observed data yield (a) Find a (b) Find B. (c) Calculate the least squares regression line frormthese data. (d) If a student's midterm score is 75, what is his predicted final exam score? (e) If one has calculated σ-18, what is the 95% confidence interval for Y when the studen midtern score...
A Statistics professor assigned 10 quizzes over the course of the semester. He wanted to see if there was a relationship between the total mark of all 10 quizzes and the final exam mark. There were 203 students who completed all the quizzes and wrote the final exam. The standard deviation of the total quiz marks was 15, and that of the final exam was 16. The correlation between the total quiz mark and the final exam was 0.8. Based on...
A research team collected data on n= 450 students in a statistics course. The observed average final examination score was 524, with an observed standard deviation of 127.6 (the divisor in the estimated variance was n-1). The average first examination score was 397, with an observed standard deviation of 96.4. The correlation coefficient between the first examination score and the final examination score was 0.63. a. Report the analysis of variance table and result of the test of the null...
The final exam scores of students taking a statistics course are normally distributed with a population mean of 72 and a population standard deviation of 8. If a student taking this statistics course is randomly selected, what is the probability that his/her final exam score is between 60 and 84? A .4332 .9332 C .8664 .1336 Submit Answer
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