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 = 1 * weight - 15
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZARGARI Amir | 62 |
| 14 | GALEDO Mark John Lexer | 58 |
| 19 | SHIMIZU Miyataka | 60 |
| 33 | CRAWFORD Jai | 59 |
| 39 | OCONER George | 59 |
| 50 | PHOUNSAVATH Ariya | 67 |
| 56 | MORALES Jan Paul Montealegre | 59 |
| 59 | MCCANN David | 73 |
| 60 | SAEIDI TANHA Abbas | 70 |
| 61 | SIM Teck Kwang Calvin | 64 |
| 64 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 66 | MÜLLER Martin | 79 |
| 68 | MAT AMIN Mohd Shahrul | 54 |