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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONFORT Maxime | 66 |
| 2 | NAIBO Carl | 62 |
| 3 | VAN HECKE Preben | 69 |
| 5 | DI GRÉGORIO Rémy | 67 |
| 6 | HADDOU Saïd | 80 |
| 7 | SCHLECK Andy | 68 |
| 8 | LEMOINE Cyril | 73 |
| 9 | HERNÁNDEZ Aitor | 64 |
| 10 | BERNAUDEAU Giovanni | 62 |
| 11 | VAUGRENARD Benoît | 72 |
| 12 | BONNET William | 80 |
| 13 | MÜLLER Christian | 69 |
| 14 | BONNAIRE Olivier | 67 |
| 17 | ROCHE Nicolas | 70 |