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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLAR David | 79 |
| 2 | DIAZ Rafael | 55 |
| 3 | PÉREZ RODRÍGUEZ Luis | 67 |
| 4 | BASSONS Christophe | 74 |
| 5 | VOGELS Henk | 75 |
| 6 | CAÑADA David | 65 |
| 8 | VOGONDY Nicolas | 62 |
| 9 | MORIN Anthony | 79 |
| 12 | LANGELLA Anthony | 76 |
| 13 | KJÆRGAARD Steffen | 74 |
| 15 | DE JONGH Steven | 76 |
| 17 | HALGAND Patrice | 67 |
| 18 | GONO Marcel | 69 |
| 19 | BERGÈS Stéphane | 68 |