In Professor Krugman's economics course, the correlation between the students' total scores prior to the final...
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...
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 = 0.52. 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...
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...
6. Professor Worth has analyzed midterm exam scores of students enrolled in his introductory economics course, using data on each student. He has obtained the following regression results: SCORE = 0.67 + 0.14 SAT + 0.21 STUDY + 0.07 [STUDY SAT] + e (0.22) (0.03) (0.08) (0.02) where entries in parentheses are the standard errors of the parameter estimates immediately above them; SAT = the student's SAT score, measured in units of 100 (so a score of 600 has an...
On the first day of class, an economics professor administers a test to gauge the math preparedness of her students. She believes that the performance on this math test and the number of hours studied per week on the course are the primary factors that predict a student's score on the final exam. She collects data from 60 students, a portion of which is shown in the accompanying table Final 94 74 Math 92 90 Hours 63 64 icture Click...
A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 527.8 with a standard deviation of 177.8, verbal mean 505.5 with a standard deviation of 147.3, and the correlation between verbal and math scores was r=0.521. Complete parts a through f below. a) What is the correlation? The correlation is Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores....
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time Score 3 67 13 95 6 15 77 89 13 100 3 66 7 63 11 79 1 59 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? D = 0 H: ? *0 The p-value is: (Round...
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time Score 3 10 15 512 015 58 75 89 89 77 79 54 96 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? - 0 H: 70 (Round to four The p-value is: decimal places) c. Use a...