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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ackermann
1
78 kgNizzolo
2
72 kgConsonni
3
60 kgMezgec
4
72 kgVendrame
5
60 kgOliveira
6
66 kgBole
7
69 kgLeveau
8
67 kgSbaragli
9
74 kgMarengo
10
69 kgUlissi
11
63 kgJarc
12
75 kgKump
13
68 kgAlbanese
14
70 kgBusato
15
67 kgBajc
16
65 kgFilosi
17
70 kgKrizek
18
74 kgHermans
19
72 kgGrošelj
20
70 kg
1
78 kgNizzolo
2
72 kgConsonni
3
60 kgMezgec
4
72 kgVendrame
5
60 kgOliveira
6
66 kgBole
7
69 kgLeveau
8
67 kgSbaragli
9
74 kgMarengo
10
69 kgUlissi
11
63 kgJarc
12
75 kgKump
13
68 kgAlbanese
14
70 kgBusato
15
67 kgBajc
16
65 kgFilosi
17
70 kgKrizek
18
74 kgHermans
19
72 kgGrošelj
20
70 kg
Weight (KG) →
Result →
78
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACKERMANN Pascal | 78 |
| 2 | NIZZOLO Giacomo | 72 |
| 3 | CONSONNI Simone | 60 |
| 4 | MEZGEC Luka | 72 |
| 5 | VENDRAME Andrea | 60 |
| 6 | OLIVEIRA Rui | 66 |
| 7 | BOLE Grega | 69 |
| 8 | LEVEAU Jérémy | 67 |
| 9 | SBARAGLI Kristian | 74 |
| 10 | MARENGO Umberto | 69 |
| 11 | ULISSI Diego | 63 |
| 12 | JARC Aljaž | 75 |
| 13 | KUMP Marko | 68 |
| 14 | ALBANESE Vincenzo | 70 |
| 15 | BUSATO Matteo | 67 |
| 16 | BAJC Andi | 65 |
| 17 | FILOSI Iuri | 70 |
| 18 | KRIZEK Matthias | 74 |
| 19 | HERMANS Ben | 72 |
| 20 | GROŠELJ Matic | 70 |