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 - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pellaud
1
70 kgRodenberg
3
73 kgde Kleijn
5
68 kgThwaites
6
71 kgMaitre
7
71 kgFolsach
9
81 kgPaterski
11
73 kg
1
70 kgRodenberg
3
73 kgde Kleijn
5
68 kgThwaites
6
71 kgMaitre
7
71 kgFolsach
9
81 kgPaterski
11
73 kg
Weight (KG) →
Result →
81
68
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLAUD Simon | 70 |
| 3 | RODENBERG Frederik | 73 |
| 5 | DE KLEIJN Arvid | 68 |
| 6 | THWAITES Scott | 71 |
| 7 | MAITRE Florian | 71 |
| 9 | FOLSACH Casper | 81 |
| 11 | PATERSKI Maciej | 73 |