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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van der Poel
1
70 kgRoche
4
74 kgDe Wolf
5
75 kgThaler
11
60 kgPrim
14
76 kgJohansson
15
71 kgKuiper
19
69 kg
1
70 kgRoche
4
74 kgDe Wolf
5
75 kgThaler
11
60 kgPrim
14
76 kgJohansson
15
71 kgKuiper
19
69 kg
Weight (KG) →
Result →
76
60
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 4 | ROCHE Stephen | 74 |
| 5 | DE WOLF Fons | 75 |
| 11 | THALER Klaus-Peter | 60 |
| 14 | PRIM Tommy | 76 |
| 15 | JOHANSSON Bernt | 71 |
| 19 | KUIPER Hennie | 69 |