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 = -2.4 * weight + 180
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Martins
4
70 kgRaabe
5
71 kgBonilla
7
73 kgLachance
13
72 kgRojas
28
58 kgChacón
55
63 kg
4
70 kgRaabe
5
71 kgBonilla
7
73 kgLachance
13
72 kgRojas
28
58 kgChacón
55
63 kg
Weight (KG) →
Result →
73
58
4
55
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARTINS Uri | 70 |
| 5 | RAABE Henry | 71 |
| 7 | BONILLA José Adrián | 73 |
| 13 | LACHANCE Jean-Michel | 72 |
| 28 | ROJAS Juan Carlos | 58 |
| 55 | CHACÓN José Isidro | 63 |