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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MILLAR David | 79 |
| 3 | DIAZ Rafael | 55 |
| 4 | PÉREZ RODRÍGUEZ Luis | 67 |
| 5 | VOGELS Henk | 75 |
| 6 | LIVINGSTON Kevin | 70 |
| 7 | MORIN Anthony | 79 |
| 8 | MONCOUTIÉ David | 69 |
| 9 | BASSONS Christophe | 74 |
| 10 | AEBERSOLD Niki | 58 |
| 11 | CAÑADA David | 65 |
| 15 | KJÆRGAARD Steffen | 74 |
| 16 | MANNING Paul | 76 |
| 17 | LANGELLA Anthony | 76 |
| 18 | DE JONGH Steven | 76 |
| 20 | JALABERT Nicolas | 68 |