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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIGNAN Gilles | 63 |
| 2 | COMMESSO Salvatore | 66 |
| 3 | GOUGOT Fabrice | 72 |
| 5 | BOURGUIGNON Thierry | 72 |
| 6 | STREEL Marc | 69 |
| 7 | JALABERT Nicolas | 68 |
| 8 | TOMBAK Janek | 71 |
| 11 | AUGER Ludovic | 78 |
| 12 | JENNER Christopher | 68 |
| 13 | SALMON Benoît | 60 |
| 15 | VINOKOUROV Alexandre | 68 |
| 16 | MARTINEZ José Alberto | 67 |
| 17 | DUFAUX Laurent | 60 |
| 18 | SIMON François | 70 |
| 19 | MEIER Armin | 69 |
| 20 | BÖLTS Udo | 73 |