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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Madiot
1
68 kgLilholt
1
72 kgChevallier
2
69 kgMauri
3
68 kgMuseeuw
5
71 kgUgrumov
6
58 kgKonyshev
6
77 kgHegg
14
70 kg
1
68 kgLilholt
1
72 kgChevallier
2
69 kgMauri
3
68 kgMuseeuw
5
71 kgUgrumov
6
58 kgKonyshev
6
77 kgHegg
14
70 kg
Weight (KG) →
Result →
77
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 1 | LILHOLT Søren | 72 |
| 2 | CHEVALLIER Philippe | 69 |
| 3 | MAURI Melchor | 68 |
| 5 | MUSEEUW Johan | 71 |
| 6 | UGRUMOV Piotr | 58 |
| 6 | KONYSHEV Dmitry | 77 |
| 14 | HEGG Steve | 70 |