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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAPLACE Anthony | 65 |
| 2 | MOTTIER Justin | 65 |
| 3 | JULES Justin | 64 |
| 4 | MAURELET Flavien | 56 |
| 5 | VAN HOOYDONCK Nathan | 78 |
| 6 | JENSEN August | 67 |
| 8 | EENKHOORN Pascal | 72 |
| 9 | LAMPIER Steven | 68 |
| 11 | JARRIER Benoît | 69 |
| 13 | MAITRE Florian | 71 |
| 14 | BLAIN Alexandre | 82 |
| 15 | GMELICH MEIJLING Jarno | 77 |
| 16 | SIVAKOV Pavel | 70 |
| 18 | PEYSKENS Dimitri | 69 |
| 19 | DUQUENNOY Jimmy | 75 |