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 = 1.2 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZARGARI Amir | 62 |
| 4 | CRAWFORD Jai | 59 |
| 5 | SHIMIZU Miyataka | 60 |
| 11 | OCONER George | 59 |
| 14 | GALEDO Mark John Lexer | 58 |
| 16 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 36 | PHOUNSAVATH Ariya | 67 |
| 44 | MCCANN David | 73 |
| 45 | MAT AMIN Mohd Shahrul | 54 |
| 49 | MÜLLER Martin | 79 |
| 54 | MORALES Jan Paul Montealegre | 59 |