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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Garmendia
1
68 kgCasero
2
72 kgUllrich
3
73 kgMauri
4
68 kgEscartín
5
61 kgCañada
6
65 kgBlaudzun
8
66 kg
1
68 kgCasero
2
72 kgUllrich
3
73 kgMauri
4
68 kgEscartín
5
61 kgCañada
6
65 kgBlaudzun
8
66 kg
Weight (KG) →
Result →
73
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARMENDIA Aitor | 68 |
| 2 | CASERO Ángel Luis | 72 |
| 3 | ULLRICH Jan | 73 |
| 4 | MAURI Melchor | 68 |
| 5 | ESCARTÍN Fernando | 61 |
| 6 | CAÑADA David | 65 |
| 8 | BLAUDZUN Michael | 66 |