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 = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHIAPPUCCI Claudio | 67 |
| 3 | ARGENTIN Moreno | 66 |
| 7 | JALABERT Laurent | 66 |
| 8 | DE WILDE Etienne | 70 |
| 9 | FIGNON Laurent | 67 |
| 10 | SCIANDRI Maximilian | 75 |
| 12 | INDURÁIN Miguel | 76 |
| 13 | BÖLTS Udo | 73 |
| 14 | ROCHE Stephen | 74 |
| 19 | BUGNO Gianni | 68 |