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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIBBONS Ryan | 70 |
| 3 | AYAZBAYEV Maxat | 75 |
| 4 | MARINI Nicolas | 72 |
| 5 | MARECZKO Jakub | 67 |
| 6 | MCCABE Travis | 72 |
| 7 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 9 | BENFATTO Marco | 71 |
| 12 | GIDICH Yevgeniy | 69 |
| 13 | FELIPE Marcelo | 58 |
| 14 | SAI-UDOMSIN Phuchong | 60 |
| 15 | ROTA Lorenzo | 62 |
| 16 | BARBIN Enrico | 60 |
| 17 | MOSCA Jacopo | 65 |
| 18 | BOONRATANATHANAKORN Turakit | 72 |