Of two personnel evaluation techniques, the first requires a 2 hour test interview while the second...
Of two personnel evaluation techniques, the first requires a 2 hour test interview while the second can be completed in less than an hour. The scores for each of the 15 students who took the test are given in the table. Use MINITAB to answer the following questions.
Test 1(x) 75 89 60 71 92 105 55 87 73 77 84 91 75 82 76
test 2 (y) 38 56 35 45 59 70 31 52 48 41 51 58 45 49 47
a. using a scatter diagram, is it reasonable to perform a regression analysis on the data? Why or why not?
b. find the regression equation that defines the relationship between test 1 and test 2.
c. what is the standard error of the equation.
d. identify and interpret the slope of the regression equation.
e. is performance on test 1 a good indicator of performance on test 2? why or why not?
f. is the regression analysis significant? why or why not?
g. if someone scored a 64 on test 1, what does the analysis predict they will score on test 2?
h. find a 95% confidence interval for score on test 2 given that a person who scored 64 on test 1.
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Of two personnel evaluation techniques, the first requires a 2
hour test interview while the second...
Of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can...
Of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can be completed in less than an hour. The scores for each of the eight individuals who took both tests are given in the table below Applicant Test 1 (x) Test 2 (y) 75 89 61 71 93 105 39 57 34 46 58 70 30 53 4 (a) Find the correlation coefficient r to describe the relationship between the two tests. (Round your answer...
of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can...
of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can be completed in less than an hour. The scores for each of the eight individuals who took both tests are given in the table below Applicant Ts1 (x) s 2 (v) (a) Find the correlation coefficient rto describe the relationship between the two tests. (Round your answer to three decimal places.) (b) Would you be willing to use the second and quicker test rather...
2. The following data were collected last semester on ten students. Complete a multiple regression analysis in which you use AGE (A), MATH PROFICIENCY (MP) (on a 1 –10 scale), and GENDER (G) (0 = male...
2. The following data were collected last semester on ten students. Complete a multiple regression analysis in which you use AGE (A), MATH PROFICIENCY (MP) (on a 1 –10 scale), and GENDER (G) (0 = male, 1 = female) as predictors of FINAL EXAM (FE) performance. Do this analysis in SPSS and then answer the following questions. Subject # A MP G FE 1 35 8 1 90 2 31 6 0 88 3 26 5 1 84 4 33...
9. The data below are the hours spent studying and the corresponding test score earned. Assume...
9. The data below are the hours spent studying and the corresponding test score earned. Assume that the variables x and y have a significant correlation. Hours spent studying, x 0 2 4 5 5 5 6 7 8 Test score, y 4051 64 69 73 75 9390 95 a) Sketch a scatter plot of the data on provided graph paper segment. (2 pts) b) Describe the type of correlation you see if one exists. (1 pts) c) Find the...
On the first day of class, an economics professor administers a test to gauge the math preparedne...
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...
Midterm1 = (83.33, 98.33, 75, 91.67, 96.67, 95, 86.67, 65, 100, 100, 80, 88.33, 96.67, 96.67,...
Midterm1 = (83.33, 98.33, 75, 91.67, 96.67, 95, 86.67, 65, 100,
100, 80, 88.33,
96.67, 96.67, 90, 96.67, 86.67, 93.33, 80, 91.67, 98.33, 86.67, 85,
86.67, 95,
83.33, 96.67, 81.67, 98.33, 100, 95, 93.33, 91.67, 88.33, 98.33,
93.33, 98.33,
93.33, 85, 88.33, 100, 98.33, 96.67, 90, 86.67, 100, 96.67, 98.33,
90, 96.67,
86.67, 95, 78.33, 86.67, 100, 81.67, 96.67, 91.67, 96.67, 96.67,
95, 96.67, 73.33,
100, 93.33, 96.67, 88.33, 70, 96.67, 96.67, 100, 88.33, 96.67, 100,
88.33, 100,
78.33, 93.33,...
A statistics professor would like to build a model relating student scores on the first test...
A statistics professor would like to build a model relating student scores on the first test to the scores on the second test. The test scores from a random sample of 21 students who have previously taken the course are given in the table. Test Scores Student First Test Grade Second Test Grade 1 86 78 2 47 61 3 95 82 4 53 66 5 69 74 6 97 86 7 59 66 8 45 62 9 44 60...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the stu...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the student spent participating in a GMU club or sport and working for pay outside of GMU was recorded. Values of 0 indicate the students either does not participate in a club or sport or does not work a job for pay. The goal of...
Regression and Correlation Methods: Correlation, ANOVA, and Least Squares This is another way of assessing the...
Regression and Correlation Methods: Correlation, ANOVA, and Least Squares This is another way of assessing the possible association between a normally distributed variable y and a categorical variable x. These techniques are special cases of linear regression methods. The purpose of the assignment is to demonstrate methods of regression and correlation analysis in which two different variables in the same sample are related. The following are three important statistics, or methodologies, for using correlation and regression: Pearson's correlation coefficient ANOVA...
Q1 (30 points) Consider Problem 11.45, Page 637. Please note that for this problem the data...
Q1 (30 points) Consider Problem 11.45, Page 637. Please note that for this problem the data will be entered in R as follows: #Enter data on x = Dose Level of Drug, and y = Potency of Drug (Problem 11.45, page 637) x<-c(2, 2, 2, 4, 4, 8, 8, 16, 16, 16, 32, 32, 64, 64, 64) y<-c(5, 7, 3, 10, 14, 15, 17, 20, 21, 19, 23, 29, 28, 31, 30) For this problem, answer the following questions. In...
Of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can be completed in less than an hour. The scores for each of the eight individuals who took both tests are given in the table below Applicant Test 1 (x) Test 2 (y) 75 89 61 71 93 105 39 57 34 46 58 70 30 53 4 (a) Find the correlation coefficient r to describe the relationship between the two tests. (Round your answer...
of two personnel evaluation techniques available, the first requires a 2-hour test-interview while the second can be completed in less than an hour. The scores for each of the eight individuals who took both tests are given in the table below Applicant Ts1 (x) s 2 (v) (a) Find the correlation coefficient rto describe the relationship between the two tests. (Round your answer to three decimal places.) (b) Would you be willing to use the second and quicker test rather...
9. The data below are the hours spent studying and the corresponding test score earned. Assume that the variables x and y have a significant correlation. Hours spent studying, x 0 2 4 5 5 5 6 7 8 Test score, y 4051 64 69 73 75 9390 95 a) Sketch a scatter plot of the data on provided graph paper segment. (2 pts) b) Describe the type of correlation you see if one exists. (1 pts) c) Find the...
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...
Midterm1 = (83.33, 98.33, 75, 91.67, 96.67, 95, 86.67, 65, 100,
100, 80, 88.33,
96.67, 96.67, 90, 96.67, 86.67, 93.33, 80, 91.67, 98.33, 86.67, 85,
86.67, 95,
83.33, 96.67, 81.67, 98.33, 100, 95, 93.33, 91.67, 88.33, 98.33,
93.33, 98.33,
93.33, 85, 88.33, 100, 98.33, 96.67, 90, 86.67, 100, 96.67, 98.33,
90, 96.67,
86.67, 95, 78.33, 86.67, 100, 81.67, 96.67, 91.67, 96.67, 96.67,
95, 96.67, 73.33,
100, 93.33, 96.67, 88.33, 70, 96.67, 96.67, 100, 88.33, 96.67, 100,
88.33, 100,
78.33, 93.33,...
Q1 (30 points) Consider Problem 11.45, Page 637. Please note that for this problem the data will be entered in R as follows: #Enter data on x = Dose Level of Drug, and y = Potency of Drug (Problem 11.45, page 637) x<-c(2, 2, 2, 4, 4, 8, 8, 16, 16, 16, 32, 32, 64, 64, 64) y<-c(5, 7, 3, 10, 14, 15, 17, 20, 21, 19, 23, 29, 28, 31, 30) For this problem, answer the following questions. In...
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