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 = -0.5 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Antomarchi
1
70 kgHunter
2
72 kgBaliani
3
66 kgGonçalves
4
70 kgVaubourzeix
5
70 kgMcLeod
7
66 kgLavieu
8
60 kg
1
70 kgHunter
2
72 kgBaliani
3
66 kgGonçalves
4
70 kgVaubourzeix
5
70 kgMcLeod
7
66 kgLavieu
8
60 kg
Weight (KG) →
Result →
72
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOMARCHI Julien | 70 |
| 2 | HUNTER Robert | 72 |
| 3 | BALIANI Fortunato | 66 |
| 4 | GONÇALVES José | 70 |
| 5 | VAUBOURZEIX Thomas | 70 |
| 7 | MCLEOD Ian | 66 |
| 8 | LAVIEU Antoine | 60 |