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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Sergeant
5
76 kgVilamajo
6
70 kgDelgado
9
64 kgHoste
14
76 kgMujika
36
73 kg
5
76 kgVilamajo
6
70 kgDelgado
9
64 kgHoste
14
76 kgMujika
36
73 kg
Weight (KG) →
Result →
76
64
5
36
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SERGEANT Marc | 76 |
| 6 | VILAMAJO Jaime | 70 |
| 9 | DELGADO Pedro | 64 |
| 14 | HOSTE Frank | 76 |
| 36 | MUJIKA Jokin | 73 |