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 = 43.1 * weight - 2111
This means that on average for every extra kilogram weight a rider loses 43.1 positions in the result.
Matějka
17
56 kgInduráin
990
76 kgGayant
990
69 kgMujika
990
73 kgMejia
990
63 kg
17
56 kgInduráin
990
76 kgGayant
990
69 kgMujika
990
73 kgMejia
990
63 kg
Weight (KG) →
Result →
76
56
17
990
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | MATĚJKA Libor | 56 |
| 990 | INDURÁIN Miguel | 76 |
| 990 | GAYANT Martial | 69 |
| 990 | MUJIKA Jokin | 73 |
| 990 | MEJIA Alvaro | 63 |