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 + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Ekimov
1
69 kgRodriguez
2
68 kgSarkauskas
3
74 kgRodrigues
6
68 kgSteels
7
73 kgOsa
10
64 kg
1
69 kgRodriguez
2
68 kgSarkauskas
3
74 kgRodrigues
6
68 kgSteels
7
73 kgOsa
10
64 kg
Weight (KG) →
Result →
74
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 2 | RODRIGUEZ Fred | 68 |
| 3 | SARKAUSKAS Saulius | 74 |
| 6 | RODRIGUES Orlando Sergio | 68 |
| 7 | STEELS Tom | 73 |
| 10 | OSA Aitor | 64 |