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 = 0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hodge
4
74 kgMejia
6
63 kgRipoll
22
66 kgGavazzi
34
67 kgMuseeuw
60
71 kgDomínguez
81
67 kg
4
74 kgMejia
6
63 kgRipoll
22
66 kgGavazzi
34
67 kgMuseeuw
60
71 kgDomínguez
81
67 kg
Weight (KG) →
Result →
74
63
4
81
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HODGE Stephen | 74 |
| 6 | MEJIA Alvaro | 63 |
| 22 | RIPOLL José Andrés | 66 |
| 34 | GAVAZZI Pierino | 67 |
| 60 | MUSEEUW Johan | 71 |
| 81 | DOMÍNGUEZ Manuel Jorge | 67 |