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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Raas
1
72 kgHinault
4
62 kgvan Vliet
6
65 kgKuiper
11
69 kgThaler
13
60 kgMartinelli
15
74 kgvan den Hoek
19
77 kg
1
72 kgHinault
4
62 kgvan Vliet
6
65 kgKuiper
11
69 kgThaler
13
60 kgMartinelli
15
74 kgvan den Hoek
19
77 kg
Weight (KG) →
Result →
77
60
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 4 | HINAULT Bernard | 62 |
| 6 | VAN VLIET Leo | 65 |
| 11 | KUIPER Hennie | 69 |
| 13 | THALER Klaus-Peter | 60 |
| 15 | MARTINELLI Giuseppe | 74 |
| 19 | VAN DEN HOEK Aad | 77 |