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 = 1.2 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Rojas
1
58 kgRaabe
6
71 kgBonilla
18
73 kgMartins
24
70 kgChacón
32
63 kgLachance
52
72 kg
1
58 kgRaabe
6
71 kgBonilla
18
73 kgMartins
24
70 kgChacón
32
63 kgLachance
52
72 kg
Weight (KG) →
Result →
73
58
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 6 | RAABE Henry | 71 |
| 18 | BONILLA José Adrián | 73 |
| 24 | MARTINS Uri | 70 |
| 32 | CHACÓN José Isidro | 63 |
| 52 | LACHANCE Jean-Michel | 72 |