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 = -0.6 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
De Wolf
4
75 kgRoche
5
74 kgKuiper
6
69 kgDe Vlaeminck
8
74 kgThaler
14
60 kg
4
75 kgRoche
5
74 kgKuiper
6
69 kgDe Vlaeminck
8
74 kgThaler
14
60 kg
Weight (KG) →
Result →
75
60
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WOLF Fons | 75 |
| 5 | ROCHE Stephen | 74 |
| 6 | KUIPER Hennie | 69 |
| 8 | DE VLAEMINCK Roger | 74 |
| 14 | THALER Klaus-Peter | 60 |