A professor has found that scores on the midterm exam
in her classes predict scores on the final exam.The regression
constant in the linear prediction rule for predicting final exam
scores from midterm exam scores is 31 and the regression
coefficient is 0.5. Complete parts (a) through (k) below.
(a) Indicate the predictor variable.
solution:
given
midterm exam scores=31
regression coefficient=0.5
predictor variable is the mid term exam score
criterion variable is the final exam score
linear prediction=y=a+bx
=31+0.5x
A professor has found that scores on the midterm exam in her classes predict scores on...
Use the accompanying regression constants and coefficients to complete parts (a) through (e) below. A. Regression constant a= 1.1 Regression coefficient b= 0.7 B. Constant= 9.8 Coefficient= -0.5 C. Constant= 2.2 Coefficient= .1 D. Constant= 9.4 Coefficient= -0.7 (a) Determine the linear prediction rule for predicting criterion variable Y from predictor variable X using row (a-d) (e) Make a single graph (with values from 0 to 10 on both axes) showing all the regression lines, labeling each by its letter
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...
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-0.56. 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...
Use the accompanying regression constants and coefficients to complete parts (a) through (e) below. A. Constant= 1.4. Coefficient b1= 0.8 Coefficient b2= -0.6 Coefficient b3= 9.73 B. Constant= 9.7 Coefficient b1= -0.6 Coefficient b2= 11.1 Coefficient b3= -8.96 C. Constant= 2.6 Coefficient b1= 0.2 Coefficient b2= 6.39 Coefficient b3= 3.42 D. Constant= 9.3 Coefficient b1= -0.8 Coefficient b2= 21.72 Coefficient b3= 1.38 (a) Determine the multiple linear prediction rule for predicting criterion variable Y from predictor variables Upper X 1,...
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)...
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...
If a person's score on a test X has been found to predict performance on task Y, and the linear prediction rule uses a regression constant of 7 and a regression coefficient of 3, the predicted level of performance on task Y for a person with a score of 40 on test X is 61 113 127 283
Student stress at final exam time comes partly from the
uncertainty of grades and the consequences of those grades. Can
knowledge of a midterm grade be used to predict a final exam grade?
A random sample of 200 BCOM students from recent years was taken
and their percentage grades on assignments, midterm exam, and final
exam were recorded. Let’s examine the ability of midterm and
assignment grades to predict final exam grades.
The data are shown here:
Assignment
Midterm
FinalExam...