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 + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Malucelli
2
68 kgSchumacher
3
71 kgFinetto
4
62 kgMonsalve
5
62 kgGodoy
7
64 kgJules
10
64 kg
2
68 kgSchumacher
3
71 kgFinetto
4
62 kgMonsalve
5
62 kgGodoy
7
64 kgJules
10
64 kg
Weight (KG) →
Result →
71
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MALUCELLI Matteo | 68 |
| 3 | SCHUMACHER Stefan | 71 |
| 4 | FINETTO Mauro | 62 |
| 5 | MONSALVE Yonathan | 62 |
| 7 | GODOY Yonder | 64 |
| 10 | JULES Justin | 64 |