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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Roche
2
74 kgHinault
4
62 kgDuclos-Lassalle
5
73 kgDe Wolf
9
75 kgMadiot
12
68 kg
2
74 kgHinault
4
62 kgDuclos-Lassalle
5
73 kgDe Wolf
9
75 kgMadiot
12
68 kg
Weight (KG) →
Result →
75
62
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROCHE Stephen | 74 |
| 4 | HINAULT Bernard | 62 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 9 | DE WOLF Fons | 75 |
| 12 | MADIOT Marc | 68 |