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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Nibali
1
65 kgSantambrogio
2
63 kgScarponi
3
62 kgSiutsou
4
68 kgSerpa
5
64 kgNiemiec
7
62 kgBouet
8
67 kgAru
9
63 kgSarmiento
10
58 kgBongiorno
11
56 kgGil Martinez
12
60 kgEvans
13
64 kgLocatelli
14
60 kgTiralongo
15
63 kgHuzarski
16
69 kgČerný
17
75 kgSantaromita
18
58 kg
1
65 kgSantambrogio
2
63 kgScarponi
3
62 kgSiutsou
4
68 kgSerpa
5
64 kgNiemiec
7
62 kgBouet
8
67 kgAru
9
63 kgSarmiento
10
58 kgBongiorno
11
56 kgGil Martinez
12
60 kgEvans
13
64 kgLocatelli
14
60 kgTiralongo
15
63 kgHuzarski
16
69 kgČerný
17
75 kgSantaromita
18
58 kg
Weight (KG) →
Result →
75
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIBALI Vincenzo | 65 |
| 2 | SANTAMBROGIO Mauro | 63 |
| 3 | SCARPONI Michele | 62 |
| 4 | SIUTSOU Kanstantsin | 68 |
| 5 | SERPA José Rodolfo | 64 |
| 7 | NIEMIEC Przemysław | 62 |
| 8 | BOUET Maxime | 67 |
| 9 | ARU Fabio | 63 |
| 10 | SARMIENTO Cayetano José | 58 |
| 11 | BONGIORNO Francesco Manuel | 56 |
| 12 | GIL MARTINEZ Tomas Aurelio | 60 |
| 13 | EVANS Cadel | 64 |
| 14 | LOCATELLI Stefano | 60 |
| 15 | TIRALONGO Paolo | 63 |
| 16 | HUZARSKI Bartosz | 69 |
| 17 | ČERNÝ Josef | 75 |
| 18 | SANTAROMITA Ivan | 58 |