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 = -2.7 * weight + 210
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Löfkvist
1
70 kgSapa
3
82 kgKiendyś
6
78 kgKrupa
8
74 kgMazur
9
73 kgKessiakoff
63
61 kg
1
70 kgSapa
3
82 kgKiendyś
6
78 kgKrupa
8
74 kgMazur
9
73 kgKessiakoff
63
61 kg
Weight (KG) →
Result →
82
61
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÖFKVIST Thomas | 70 |
| 3 | SAPA Marcin | 82 |
| 6 | KIENDYŚ Tomasz | 78 |
| 8 | KRUPA Dawid | 74 |
| 9 | MAZUR Peter | 73 |
| 63 | KESSIAKOFF Fredrik | 61 |