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 = 0.7 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Perez Cuapio
1
58 kgDi Luca
4
61 kgMazzanti
6
64 kgCasagrande
7
64 kgTiralongo
8
63 kgŠtangelj
10
70 kgHauptman
11
70 kg
1
58 kgDi Luca
4
61 kgMazzanti
6
64 kgCasagrande
7
64 kgTiralongo
8
63 kgŠtangelj
10
70 kgHauptman
11
70 kg
Weight (KG) →
Result →
70
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEREZ CUAPIO Julio Alberto | 58 |
| 4 | DI LUCA Danilo | 61 |
| 6 | MAZZANTI Luca | 64 |
| 7 | CASAGRANDE Francesco | 64 |
| 8 | TIRALONGO Paolo | 63 |
| 10 | ŠTANGELJ Gorazd | 70 |
| 11 | HAUPTMAN Andrej | 70 |