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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAUMONT Philippe | 77 |
| 3 | DURAND Jacky | 76 |
| 4 | SIMON François | 70 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | MARIE Thierry | 68 |
| 9 | SAUGRAIN Cyril | 62 |
| 12 | CHANTEUR Pascal | 62 |
| 13 | MOREAU Francis | 77 |
| 15 | BOURGUIGNON Thierry | 72 |
| 17 | ROBIN Jean-Cyril | 63 |
| 18 | CAPELLE Christophe | 73 |
| 19 | JALABERT Nicolas | 68 |
| 22 | JAN Xavier | 62 |
| 24 | SEIGNEUR Eddy | 71 |
| 25 | HODGE Stephen | 74 |