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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUDAT Thomas | 70 |
| 2 | MODOLO Sacha | 67 |
| 3 | VENTURINI Clément | 60 |
| 4 | PASQUALON Andrea | 75 |
| 5 | VAN DER SANDE Tosh | 67 |
| 6 | BARBERO Carlos | 66 |
| 7 | KOCH Jonas | 75 |
| 8 | HOFLAND Moreno | 71 |
| 9 | BATTAGLIN Enrico | 64 |
| 10 | TRATNIK Jan | 67 |
| 11 | DE BIE Sean | 65 |
| 12 | VAN GESTEL Dries | 74 |
| 13 | SIMÓN Jordi | 64 |
| 14 | SBARAGLI Kristian | 74 |
| 15 | RUBIO Diego | 81 |