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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERRADA José | 65 |
| 2 | CAZAUX Pierre | 59 |
| 3 | KREDER Michel | 67 |
| 4 | LEBAS Thomas | 65 |
| 5 | PARDILLA Sergio | 65 |
| 9 | QUÉMÉNEUR Perrig | 67 |
| 11 | BAKELANTS Jan | 67 |
| 13 | KVIST Thomas Vedel | 68 |
| 18 | TURGOT Sébastien | 73 |
| 20 | PRADES Benjamín | 56 |
| 22 | DOCKX Gert | 64 |
| 25 | GROENENDAAL Richard | 66 |
| 26 | GHYSELINCK Jan | 74 |
| 29 | HEGREBERG Morten | 72 |