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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pogačar
2
66 kgFerrari
3
64 kgBattistella
5
67 kgNovikov
8
65 kgPrimožič
11
60 kgRutsch
12
82 kg
2
66 kgFerrari
3
64 kgBattistella
5
67 kgNovikov
8
65 kgPrimožič
11
60 kgRutsch
12
82 kg
Weight (KG) →
Result →
82
60
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POGAČAR Tadej | 66 |
| 3 | FERRARI Andrea | 64 |
| 5 | BATTISTELLA Samuele | 67 |
| 8 | NOVIKOV Savva | 65 |
| 11 | PRIMOŽIČ Jaka | 60 |
| 12 | RUTSCH Jonas | 82 |