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 = -43.7 * weight + 3147
This means that on average for every extra kilogram weight a rider loses -43.7 positions in the result.
Gayant
2
69 kgInduráin
5
76 kgMujika
10
73 kgMejia
11
63 kgMatějka
990
56 kg
2
69 kgInduráin
5
76 kgMujika
10
73 kgMejia
11
63 kgMatějka
990
56 kg
Weight (KG) →
Result →
76
56
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAYANT Martial | 69 |
| 5 | INDURÁIN Miguel | 76 |
| 10 | MUJIKA Jokin | 73 |
| 11 | MEJIA Alvaro | 63 |
| 990 | MATĚJKA Libor | 56 |