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 = 1.3 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Hassink
1
71 kgSchür
8
74 kgHogervorst
31
82 kgde Rooij
32
69 kgMöhlmann
37
78 kg
1
71 kgSchür
8
74 kgHogervorst
31
82 kgde Rooij
32
69 kgMöhlmann
37
78 kg
Weight (KG) →
Result →
82
69
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASSINK Arie | 71 |
| 8 | SCHÜR Fritz | 74 |
| 31 | HOGERVORST Theo | 82 |
| 32 | DE ROOIJ Theo | 69 |
| 37 | MÖHLMANN Gerrit | 78 |