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 = 21.6 * weight - 1254
This means that on average for every extra kilogram weight a rider loses 21.6 positions in the result.
Matějka
2
56 kgGayant
5
69 kgInduráin
12
76 kgMejia
15
63 kgMujika
990
73 kg
2
56 kgGayant
5
69 kgInduráin
12
76 kgMejia
15
63 kgMujika
990
73 kg
Weight (KG) →
Result →
76
56
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATĚJKA Libor | 56 |
| 5 | GAYANT Martial | 69 |
| 12 | INDURÁIN Miguel | 76 |
| 15 | MEJIA Alvaro | 63 |
| 990 | MUJIKA Jokin | 73 |