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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bauer
5
72 kgvan Vliet
11
65 kgFignon
16
67 kgBernaudeau
20
64 kgJourdan
21
64 kgYates
28
74 kgMount
33
66 kg
5
72 kgvan Vliet
11
65 kgFignon
16
67 kgBernaudeau
20
64 kgJourdan
21
64 kgYates
28
74 kgMount
33
66 kg
Weight (KG) →
Result →
74
64
5
33
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BAUER Steve | 72 |
| 11 | VAN VLIET Leo | 65 |
| 16 | FIGNON Laurent | 67 |
| 20 | BERNAUDEAU Jean-René | 64 |
| 21 | JOURDAN Christian | 64 |
| 28 | YATES Sean | 74 |
| 33 | MOUNT George | 66 |