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 = 0.5 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
López
1
59 kgLatour
2
66 kgBenito
3
67 kgLedanois
4
67 kgSoler
5
68 kgDíaz
6
68 kgRestrepo
7
73 kgGougeard
8
70 kg
1
59 kgLatour
2
66 kgBenito
3
67 kgLedanois
4
67 kgSoler
5
68 kgDíaz
6
68 kgRestrepo
7
73 kgGougeard
8
70 kg
Weight (KG) →
Result →
73
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Miguel Ángel | 59 |
| 2 | LATOUR Pierre | 66 |
| 3 | BENITO Miguel Ángel | 67 |
| 4 | LEDANOIS Kévin | 67 |
| 5 | SOLER Marc | 68 |
| 6 | DÍAZ Edward Fabián | 68 |
| 7 | RESTREPO Jhonatan | 73 |
| 8 | GOUGEARD Alexis | 70 |