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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HALGAND Patrice | 67 |
| 3 | MAGNIEN Emmanuel | 68 |
| 4 | MOREAU Christophe | 71 |
| 5 | SAUGRAIN Cyril | 62 |
| 6 | KJÆRGAARD Steffen | 74 |
| 7 | GROENENDAAL Richard | 66 |
| 8 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 11 | JALABERT Nicolas | 68 |
| 13 | JOHNSEN Lars Kristian | 70 |
| 14 | SALMON Benoît | 60 |
| 15 | AERTS Mario | 68 |
| 17 | DIAZ Rafael | 55 |
| 18 | NAZON Damien | 68 |