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 = -32.9 * weight + 3011
This means that on average for every extra kilogram weight a rider loses -32.9 positions in the result.
Induráin
6
76 kgGayant
990
69 kgMatějka
990
56 kgMujika
990
73 kgMejia
990
63 kg
6
76 kgGayant
990
69 kgMatějka
990
56 kgMujika
990
73 kgMejia
990
63 kg
Weight (KG) →
Result →
76
56
6
990
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | INDURÁIN Miguel | 76 |
| 990 | GAYANT Martial | 69 |
| 990 | MATĚJKA Libor | 56 |
| 990 | MUJIKA Jokin | 73 |
| 990 | MEJIA Alvaro | 63 |