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 = 0.6 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Bagioli
1
60 kgMarcellusi
2
62 kgRubio
4
56 kgColleoni
5
66 kgBais
6
66 kgMozzato
7
67 kgRaugel
9
70 kgJames
10
60 kgRetailleau
12
64 kgKonychev
14
76 kgMazzucco
17
69 kgDorigoni
21
64 kgStojnić
24
73 kgLucca
26
74 kgVerza
30
69 kgTesfatsion
31
60 kgAdamietz
32
61 kgIacchi
34
59 kgZana
35
65 kgDi Felice
36
70 kgCovi
38
66 kgPietrobon
39
72 kg
1
60 kgMarcellusi
2
62 kgRubio
4
56 kgColleoni
5
66 kgBais
6
66 kgMozzato
7
67 kgRaugel
9
70 kgJames
10
60 kgRetailleau
12
64 kgKonychev
14
76 kgMazzucco
17
69 kgDorigoni
21
64 kgStojnić
24
73 kgLucca
26
74 kgVerza
30
69 kgTesfatsion
31
60 kgAdamietz
32
61 kgIacchi
34
59 kgZana
35
65 kgDi Felice
36
70 kgCovi
38
66 kgPietrobon
39
72 kg
Weight (KG) →
Result →
76
56
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGIOLI Andrea | 60 |
| 2 | MARCELLUSI Martin | 62 |
| 4 | RUBIO Einer | 56 |
| 5 | COLLEONI Kevin | 66 |
| 6 | BAIS Davide | 66 |
| 7 | MOZZATO Luca | 67 |
| 9 | RAUGEL Antoine | 70 |
| 10 | JAMES Tim | 60 |
| 12 | RETAILLEAU Valentin | 64 |
| 14 | KONYCHEV Alexander | 76 |
| 17 | MAZZUCCO Fabio | 69 |
| 21 | DORIGONI Jakob | 64 |
| 24 | STOJNIĆ Veljko | 73 |
| 26 | LUCCA Riccardo | 74 |
| 30 | VERZA Riccardo | 69 |
| 31 | TESFATSION Natnael | 60 |
| 32 | ADAMIETZ Johannes | 61 |
| 34 | IACCHI Alessandro | 59 |
| 35 | ZANA Filippo | 65 |
| 36 | DI FELICE Francesco | 70 |
| 38 | COVI Alessandro | 66 |
| 39 | PIETROBON Andrea | 72 |