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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERNIES Tom | 68 |
| 2 | BAUER Jack | 74 |
| 3 | DUFRASNE Jonathan | 70 |
| 4 | TERPSTRA Niki | 75 |
| 5 | CORDEEL Sander | 80 |
| 6 | TULIK Angélo | 64 |
| 7 | DRON Boris | 72 |
| 8 | NORMAN LETH Lasse | 75 |
| 9 | TURGIS Jimmy | 63 |
| 10 | SARAMOTINS Aleksejs | 75 |
| 11 | DE BUYST Jasper | 72 |
| 12 | GHYSELINCK Jan | 74 |
| 13 | LAMOISSON Morgan | 69 |
| 14 | HAYMAN Mathew | 78 |
| 16 | LAENGEN Vegard Stake | 79 |