Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.9 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | KOLAHDOZHAGH Amir | 60 |
| 3 | EBSEN John | 58 |
| 4 | ASKARI Hossein | 73 |
| 6 | SAFARZADEH Saeid | 66 |
| 7 | GALEDO Mark John Lexer | 58 |
| 8 | NIETO Edgar | 58 |
| 14 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 23 | CARIÑO El Joshua | 54 |
| 31 | OCONER George | 59 |
| 33 | ORANZA Ronald | 67 |
| 37 | SOHRABI Mehdi | 69 |
| 38 | MAT AMIN Mohd Shahrul | 54 |
| 40 | JABRAYILOV Samir | 52 |
| 42 | BAASANKHUU Myagmarsuren | 62 |
| 44 | GOH Choon Huat | 54 |
| 45 | MORALES Jan Paul Montealegre | 59 |