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 = 10.6 * weight - 133
This means that on average for every extra kilogram weight a rider loses 10.6 positions in the result.
Llach
6
58 kgHodge
9
74 kgRipoll
10
66 kgMejia
990
63 kgMuseeuw
990
71 kgDomínguez
990
67 kgGavazzi
990
67 kg
6
58 kgHodge
9
74 kgRipoll
10
66 kgMejia
990
63 kgMuseeuw
990
71 kgDomínguez
990
67 kgGavazzi
990
67 kg
Weight (KG) →
Result →
74
58
6
990
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LLACH Joaquin | 58 |
| 9 | HODGE Stephen | 74 |
| 10 | RIPOLL José Andrés | 66 |
| 990 | MEJIA Alvaro | 63 |
| 990 | MUSEEUW Johan | 71 |
| 990 | DOMÍNGUEZ Manuel Jorge | 67 |
| 990 | GAVAZZI Pierino | 67 |