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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ivanov
1
71 kgAstarloa
2
61 kgCasagrande
3
64 kgCunego
5
58 kgMazzanti
7
64 kgGiordani
9
68 kgCelestino
10
67 kg
1
71 kgAstarloa
2
61 kgCasagrande
3
64 kgCunego
5
58 kgMazzanti
7
64 kgGiordani
9
68 kgCelestino
10
67 kg
Weight (KG) →
Result →
71
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVANOV Ruslan | 71 |
| 2 | ASTARLOA Igor | 61 |
| 3 | CASAGRANDE Francesco | 64 |
| 5 | CUNEGO Damiano | 58 |
| 7 | MAZZANTI Luca | 64 |
| 9 | GIORDANI Leonardo | 68 |
| 10 | CELESTINO Mirko | 67 |