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 = 1.3 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Raabe
2
71 kgRojas
4
58 kgChacón
16
63 kgBonilla
18
73 kgLachance
40
72 kgMartins
41
70 kg
2
71 kgRojas
4
58 kgChacón
16
63 kgBonilla
18
73 kgLachance
40
72 kgMartins
41
70 kg
Weight (KG) →
Result →
73
58
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAABE Henry | 71 |
| 4 | ROJAS Juan Carlos | 58 |
| 16 | CHACÓN José Isidro | 63 |
| 18 | BONILLA José Adrián | 73 |
| 40 | LACHANCE Jean-Michel | 72 |
| 41 | MARTINS Uri | 70 |