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 - 88
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Mareczko
1
67 kgCavendish
2
70 kgMayrhofer
3
70 kgHayter
5
70 kgRocchetta
7
70 kgAlbanese
8
70 kg
1
67 kgCavendish
2
70 kgMayrhofer
3
70 kgHayter
5
70 kgRocchetta
7
70 kgAlbanese
8
70 kg
Weight (KG) →
Result →
70
67
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | CAVENDISH Mark | 70 |
| 3 | MAYRHOFER Marius | 70 |
| 5 | HAYTER Ethan | 70 |
| 7 | ROCCHETTA Cristian | 70 |
| 8 | ALBANESE Vincenzo | 70 |