Class 1Final Class2Final Assignment Class1 Midterm 28.75 24.05 15 11 61.25 50.05 15 28 42.5 35.05 13 19 53.75 44.05 20 26 53.75 44.05 20 22 36.25 30.05 18 13 38.75 32.05 20 10 37.5 31.05 10 11 45 37.05 13 16 41.25 34.05 16 15 48.75 40.05 19 16 41.25 34.05 20 16 30 25.05 10 12 45 37.05 12 22 36.25 30.05 10 13 53.75 44.05 15 23 62.5 51.05 12 28 50 41.05 14 20 52.5 43.05 11 20 43.75 36.05 13 15 38.75 32.05 15 10 60 49.05 19 30 52.5 43.05 13 16 46.25 38.05 13 24 50 41.05 18 20 37.5 31.05 10 16 31.25 26.05 20 10 41.25 34.05 11 18 37.5 31.05 12 13 31.25 26.05 14 15 Var=80.55 Var=55.29 Use regression analysis to compute the linear regression equation for the data with the final exam for Class1 as the dependent variable and the scores for on the midterm for Class1 as the independent variable. If someone made a 30 on the midterm in Class1 what would be your estimate of their grade on the final exam in Class1? Be sure and show the Excel output and the regression equation.
Class 1Final Class2Final Assignment Class1 Midterm 28.75 24.05 15 11 61.25 50.05 15 28 42.5 35.05 13 19 53.75 44.05 20 26 53.75 44.05 20 22 36.25 30.05 18 13 38.75 32.05 20 10 37.5 31.05 10 11 45 37.05 13 16 41.25 34.05 16 15 48.75 40.05 19 16 41.25 34.05 20 16 30 25.05 10 12 45 37.05 12 22 36.25 30.05 10 13 53.75 44.05 15 23 62.5 51.05 12 28 50 41.05 14 20 52.5 43.05 11 20 43.75 36.05 13 15 38.75 32.05 15 10 60 49.05 19 30 52.5 43.05 13 16 46.25 38.05 13 24 50 41.05 18 20 37.5 31.05 10 16 31.25 26.05 20 10 41.25 34.05 11 18 37.5 31.05 12 13 31.25 26.05 14 15 Var=80.55 Var=55.29 Use regression analysis to compute the linear regression equation for the data with the final exam for Class1 as the dependent variable and the scores for on the midterm for Class1 as the independent variable. If someone made a 30 on the midterm in Class1 what would be your estimate of their grade on the final exam in Class1? Be sure and show the Excel output and the regression equation.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
| Class 1Final | Class2Final | Assignment | Class1 Midterm |
| 28.75 | 24.05 | 15 | 11 |
| 61.25 | 50.05 | 15 | 28 |
| 42.5 | 35.05 | 13 | 19 |
| 53.75 | 44.05 | 20 | 26 |
| 53.75 | 44.05 | 20 | 22 |
| 36.25 | 30.05 | 18 | 13 |
| 38.75 | 32.05 | 20 | 10 |
| 37.5 | 31.05 | 10 | 11 |
| 45 | 37.05 | 13 | 16 |
| 41.25 | 34.05 | 16 | 15 |
| 48.75 | 40.05 | 19 | 16 |
| 41.25 | 34.05 | 20 | 16 |
| 30 | 25.05 | 10 | 12 |
| 45 | 37.05 | 12 | 22 |
| 36.25 | 30.05 | 10 | 13 |
| 53.75 | 44.05 | 15 | 23 |
| 62.5 | 51.05 | 12 | 28 |
| 50 | 41.05 | 14 | 20 |
| 52.5 | 43.05 | 11 | 20 |
| 43.75 | 36.05 | 13 | 15 |
| 38.75 | 32.05 | 15 | 10 |
| 60 | 49.05 | 19 | 30 |
| 52.5 | 43.05 | 13 | 16 |
| 46.25 | 38.05 | 13 | 24 |
| 50 | 41.05 | 18 | 20 |
| 37.5 | 31.05 | 10 | 16 |
| 31.25 | 26.05 | 20 | 10 |
| 41.25 | 34.05 | 11 | 18 |
| 37.5 | 31.05 | 12 | 13 |
| 31.25 | 26.05 | 14 | 15 |
| Var=80.55 | Var=55.29 |
Use regression analysis to compute the linear regression equation for the data with the final exam for Class1 as the dependent variable and the scores for on the midterm for Class1 as the independent variable.
If someone made a 30 on the midterm in Class1 what would be your estimate of their grade on the final exam in Class1? Be sure and show the Excel output and the regression equation.
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