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 = -0.9 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Neff
1
53 kgWankiewicz
8
58 kgGerritse
13
59 kgPintar
14
56 kgVitillo
19
51 kgMilette
24
52 kg
1
53 kgWankiewicz
8
58 kgGerritse
13
59 kgPintar
14
56 kgVitillo
19
51 kgMilette
24
52 kg
Weight (KG) →
Result →
59
51
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEFF Jolanda | 53 |
| 8 | WANKIEWICZ Olga | 58 |
| 13 | GERRITSE Femke | 59 |
| 14 | PINTAR Urška | 56 |
| 19 | VITILLO Matilde | 51 |
| 24 | MILETTE Laury | 52 |