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 = -1.4 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Lachance
5
72 kgRaabe
10
71 kgMartins
17
70 kgRojas
19
58 kgBonilla
22
73 kgChacón
54
63 kg
5
72 kgRaabe
10
71 kgMartins
17
70 kgRojas
19
58 kgBonilla
22
73 kgChacón
54
63 kg
Weight (KG) →
Result →
73
58
5
54
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LACHANCE Jean-Michel | 72 |
| 10 | RAABE Henry | 71 |
| 17 | MARTINS Uri | 70 |
| 19 | ROJAS Juan Carlos | 58 |
| 22 | BONILLA José Adrián | 73 |
| 54 | CHACÓN José Isidro | 63 |