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 = 1.8 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Madiot
1
68 kgUgrumov
3
58 kgKonyshev
24
77 kgChevallier
25
69 kgMauri
56
68 kgMuseeuw
71
71 kg
1
68 kgUgrumov
3
58 kgKonyshev
24
77 kgChevallier
25
69 kgMauri
56
68 kgMuseeuw
71
71 kg
Weight (KG) →
Result →
77
58
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 3 | UGRUMOV Piotr | 58 |
| 24 | KONYSHEV Dmitry | 77 |
| 25 | CHEVALLIER Philippe | 69 |
| 56 | MAURI Melchor | 68 |
| 71 | MUSEEUW Johan | 71 |