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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKOBSEN Fabio | 78 |
| 2 | VAN DER POEL Mathieu | 75 |
| 3 | KRISTOFF Alexander | 78 |
| 4 | PHILIPSEN Jasper | 75 |
| 5 | DE BUYST Jasper | 72 |
| 6 | DUPONT Timothy | 72 |
| 7 | KOGUT Oded | 77 |
| 8 | WÆRENSKJOLD Søren | 92 |
| 9 | MARTIN David | 68 |
| 10 | THIJSSEN Gerben | 74 |
| 11 | TOWNSEND Rory | 73 |
| 12 | NIEUWENHUIS Joris | 71 |
| 13 | LIEPIŅŠ Emīls | 67 |
| 14 | KAMP Ryan | 70 |
| 15 | VAN ASBROECK Tom | 72 |
| 16 | MALUCELLI Matteo | 68 |