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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 2 | SKJELMOSE Mattias | 65 |
| 3 | PLUIMERS Rick | 67 |
| 4 | PUPPIO Antonio | 75 |
| 6 | GRIGNARD Sébastien | 68 |
| 7 | VAN DIJKE Tim | 74 |
| 9 | JENSEN Frederik Irgens | 75 |
| 10 | MAZZUCCO Fabio | 69 |
| 11 | NABERMAN Tim | 70 |
| 12 | REX Laurenz | 82 |
| 13 | PEDERSEN Rasmus Søjberg | 74 |
| 16 | LARSEN Mathias Alexander Erik | 72 |
| 17 | JØRGENSEN Adam Holm | 68 |
| 19 | VANDEPITTE Nathan | 80 |
| 21 | FOLDAGER Anders | 69 |