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 = 1.9 * weight - 114
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Pfenninger
6
70 kgJanssen
10
76 kgHarrison
15
73 kgDíaz
23
63 kgGodefroot
44
73 kgGlemser
49
82 kgDaler
61
85 kg
6
70 kgJanssen
10
76 kgHarrison
15
73 kgDíaz
23
63 kgGodefroot
44
73 kgGlemser
49
82 kgDaler
61
85 kg
Weight (KG) →
Result →
85
63
6
61
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | PFENNINGER Louis | 70 |
| 10 | JANSSEN Jan | 76 |
| 15 | HARRISON Derek | 73 |
| 23 | DÍAZ Mariano | 63 |
| 44 | GODEFROOT Walter | 73 |
| 49 | GLEMSER Peter | 82 |
| 61 | DALER Jiří | 85 |