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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAUMONT Philippe | 77 |
| 2 | MOREAU Francis | 77 |
| 6 | RUÉ Gérard | 74 |
| 9 | CHANTEUR Pascal | 62 |
| 13 | KIRSIPUU Jaan | 80 |
| 14 | VAN DER STEEN Niels | 70 |
| 15 | MATTAN Nico | 69 |
| 16 | GAUTE HØLESTØL Svein | 83 |
| 17 | CAPELLE Christophe | 73 |
| 18 | MENGIN Christophe | 68 |