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 = 0.5 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Špilak
1
68 kgFinetto
2
62 kgVelits
3
63 kgDi Grégorio
4
67 kgBole
6
69 kgSabatini
7
74 kgRojas
10
70 kg
1
68 kgFinetto
2
62 kgVelits
3
63 kgDi Grégorio
4
67 kgBole
6
69 kgSabatini
7
74 kgRojas
10
70 kg
Weight (KG) →
Result →
74
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠPILAK Simon | 68 |
| 2 | FINETTO Mauro | 62 |
| 3 | VELITS Peter | 63 |
| 4 | DI GRÉGORIO Rémy | 67 |
| 6 | BOLE Grega | 69 |
| 7 | SABATINI Fabio | 74 |
| 10 | ROJAS José Joaquín | 70 |