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 = -0.4 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROUGIER-LAGANE Christopher | 69 |
| 5 | LAGAB Azzedine | 63 |
| 6 | EYOB Metkel | 61 |
| 8 | REGUIGUI Youcef | 69 |
| 10 | DUVAL Gwendy | 67 |
| 15 | MANIZABAYO Eric | 72 |
| 20 | CAHYADI Aiman | 52 |
| 31 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 36 | TAHA Amir | 59 |
| 39 | STEMAN Jip | 71 |
| 43 | HAMDAN Wan Abdul Rahman | 66 |
| 48 | MATOMBÉ Hanson | 63 |