Question
Using the Instructor ranking data conduct a simple linear regression to predict a student's scores based on the number of hours the student studies and
Using the Instructor ranking data conduct a simple linear regression to predict a student's scores based on the number of hours the student studies and answer the following questions: 1) What is the value of the intercept of this regression equation? 2) What is the value of the slope of this regression equation and what is its interpretation within the context of this problem? 3) Write the equation for this logistic regression model 4) R2 = What does this number mean? 5) F = Explain how F (F ratio) is calculated and what it means. 6) Write the results
| Class Participation | Actual grade | Hours Studying | gender |
| 12 | 98 | 5 | f |
| 11 | 94 | 5 | f |
| 10 | 88 | 4 | m |
| 9 | 91 | 4.5 | f |
| 8 | 93 | 4.1 | m |
| 7 | 88 | 3.8 | f |
| 6 | 88 | 3 | f |
| 5 | 85 | 3 | m |
| 4 | 82 | 3 | m |
| 3 | 66 | 2 | m |
| 2 | 71 | 1 | f |
| 1 | 61 | 1 | m |
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A First Course in General Relativity
Authors: Bernard Schutz
2nd edition
521887054, 978-0521887052
