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 = -0.7 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Roche
1
74 kgBernaudeau
23
64 kgKelly
25
77 kgWinnen
29
60 kgBauer
30
72 kgMadiot
31
68 kg
1
74 kgBernaudeau
23
64 kgKelly
25
77 kgWinnen
29
60 kgBauer
30
72 kgMadiot
31
68 kg
Weight (KG) →
Result →
77
60
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 23 | BERNAUDEAU Jean-René | 64 |
| 25 | KELLY Sean | 77 |
| 29 | WINNEN Peter | 60 |
| 30 | BAUER Steve | 72 |
| 31 | MADIOT Marc | 68 |