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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Raileanu
3
63 kgMendes
6
64 kgMarukhin
7
64 kgDostiyev
9
57 kgRemkhi
10
60 kgBorresch
13
79 kgSchuurmans
14
70 kg
3
63 kgMendes
6
64 kgMarukhin
7
64 kgDostiyev
9
57 kgRemkhi
10
60 kgBorresch
13
79 kgSchuurmans
14
70 kg
Weight (KG) →
Result →
79
57
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAILEANU Cristian | 63 |
| 6 | MENDES José | 64 |
| 7 | MARUKHIN Daniil | 64 |
| 9 | DOSTIYEV Ilkhan | 57 |
| 10 | REMKHI Rudolf | 60 |
| 13 | BORRESCH Julian | 79 |
| 14 | SCHUURMANS Luuk | 70 |