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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Barbosa
3
72 kgGarrido
5
70 kgTorrent
7
71 kgCardoso
8
70 kgMiyazawa
9
61 kgFarrar
10
73 kg
3
72 kgGarrido
5
70 kgTorrent
7
71 kgCardoso
8
70 kgMiyazawa
9
61 kgFarrar
10
73 kg
Weight (KG) →
Result →
73
61
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BARBOSA Cândido | 72 |
| 5 | GARRIDO Martin Gerardo | 70 |
| 7 | TORRENT Carlos | 71 |
| 8 | CARDOSO Manuel Antonio Leal | 70 |
| 9 | MIYAZAWA Takashi | 61 |
| 10 | FARRAR Tyler | 73 |