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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Olano
1
70 kgCasero
2
72 kgBrochard
3
68 kgDomínguez
5
64 kgGamito
7
66 kgVicioso
9
60 kgHorrillo
10
76 kg
1
70 kgCasero
2
72 kgBrochard
3
68 kgDomínguez
5
64 kgGamito
7
66 kgVicioso
9
60 kgHorrillo
10
76 kg
Weight (KG) →
Result →
76
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLANO Abraham | 70 |
| 2 | CASERO Ángel Luis | 72 |
| 3 | BROCHARD Laurent | 68 |
| 5 | DOMÍNGUEZ Juan Carlos | 64 |
| 7 | GAMITO Vitor | 66 |
| 9 | VICIOSO Ángel | 60 |
| 10 | HORRILLO Pedro | 76 |