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 = 1.7 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Vilamajo
5
70 kgMujika
22
73 kgFernández
34
68 kgOvando
39
66 kgPieters
59
82 kg
5
70 kgMujika
22
73 kgFernández
34
68 kgOvando
39
66 kgPieters
59
82 kg
Weight (KG) →
Result →
82
66
5
59
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | VILAMAJO Jaime | 70 |
| 22 | MUJIKA Jokin | 73 |
| 34 | FERNÁNDEZ Juan | 68 |
| 39 | OVANDO Rolando | 66 |
| 59 | PIETERS Peter | 82 |