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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Tamouridis
1
70 kgTopchanyuk
2
65 kgVrečer
4
68 kgRebellin
5
63 kgChaabane
7
70 kgKal
8
72 kgIlias
9
69 kg
1
70 kgTopchanyuk
2
65 kgVrečer
4
68 kgRebellin
5
63 kgChaabane
7
70 kgKal
8
72 kgIlias
9
69 kg
Weight (KG) →
Result →
72
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMOURIDIS Ioannis | 70 |
| 2 | TOPCHANYUK Artem | 65 |
| 4 | VREČER Robert | 68 |
| 5 | REBELLIN Davide | 63 |
| 7 | CHAABANE Hichem | 70 |
| 8 | KAL Miraç | 72 |
| 9 | ILIAS Periklis | 69 |