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 = 0.1 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Usov
1
63 kgvan Leijen
2
73 kgMartens
5
69 kgBožič
6
70 kgTrofimov
8
59 kgSokolov
9
70 kgScanlon
10
79 kg
1
63 kgvan Leijen
2
73 kgMartens
5
69 kgBožič
6
70 kgTrofimov
8
59 kgSokolov
9
70 kgScanlon
10
79 kg
Weight (KG) →
Result →
79
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | USOV Alexandre | 63 |
| 2 | VAN LEIJEN Joost | 73 |
| 5 | MARTENS Paul | 69 |
| 6 | BOŽIČ Borut | 70 |
| 8 | TROFIMOV Yuri | 59 |
| 9 | SOKOLOV Evgeny | 70 |
| 10 | SCANLON Mark | 79 |