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 = 3.6 * weight - 231
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Vanlandschoot
4
67 kgReynés
13
69 kgSijmens
19
69 kgGómez
26
68 kgWeening
27
68 kg
4
67 kgReynés
13
69 kgSijmens
19
69 kgGómez
26
68 kgWeening
27
68 kg
Weight (KG) →
Result →
69
67
4
27
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VANLANDSCHOOT James | 67 |
| 13 | REYNÉS Vicente | 69 |
| 19 | SIJMENS Nico | 69 |
| 26 | GÓMEZ Ángel | 68 |
| 27 | WEENING Pieter | 68 |