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 = -1.1 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Kiendyś
1
78 kgSapa
6
82 kgKrotký
7
73 kgRiška
12
73 kgHvastija
16
75 kgMarin
19
67 kgHuizenga
21
72 kgGaliński
24
63 kg
1
78 kgSapa
6
82 kgKrotký
7
73 kgRiška
12
73 kgHvastija
16
75 kgMarin
19
67 kgHuizenga
21
72 kgGaliński
24
63 kg
Weight (KG) →
Result →
82
63
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 6 | SAPA Marcin | 82 |
| 7 | KROTKÝ Rostislav | 73 |
| 12 | RIŠKA Martin | 73 |
| 16 | HVASTIJA Martin | 75 |
| 19 | MARIN Matej | 67 |
| 21 | HUIZENGA Jenning | 72 |
| 24 | GALIŃSKI Marek | 63 |