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 = -1.5 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Pelucchi
2
74 kgKreder
7
70 kgSepúlveda
8
59 kgKump
9
68 kgLobato
11
64 kgMiraballes
12
76 kgRosendo
16
66 kgEstrada
21
70 kgCorti
23
59 kgCabello
24
67 kgFelline
27
68 kgMorton
39
62 kgMédici
44
70 kgRathe
46
74 kgMiller
55
54 kgRuíz
59
66 kgCarlsen
78
68 kgHowes
81
61 kgCano
83
64 kgNazaret
97
65 kg
2
74 kgKreder
7
70 kgSepúlveda
8
59 kgKump
9
68 kgLobato
11
64 kgMiraballes
12
76 kgRosendo
16
66 kgEstrada
21
70 kgCorti
23
59 kgCabello
24
67 kgFelline
27
68 kgMorton
39
62 kgMédici
44
70 kgRathe
46
74 kgMiller
55
54 kgRuíz
59
66 kgCarlsen
78
68 kgHowes
81
61 kgCano
83
64 kgNazaret
97
65 kg
Weight (KG) →
Result →
76
54
2
97
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PELUCCHI Matteo | 74 |
| 7 | KREDER Raymond | 70 |
| 8 | SEPÚLVEDA Eduardo | 59 |
| 9 | KUMP Marko | 68 |
| 11 | LOBATO Juan José | 64 |
| 12 | MIRABALLES Wilder Sergio | 76 |
| 16 | ROSENDO Jesús | 66 |
| 21 | ESTRADA Juan Javier | 70 |
| 23 | CORTI Marco | 59 |
| 24 | CABELLO Antonio | 67 |
| 27 | FELLINE Fabio | 68 |
| 39 | MORTON Lachlan | 62 |
| 44 | MÉDICI Matías | 70 |
| 46 | RATHE Jacob | 74 |
| 55 | MILLER Barry | 54 |
| 59 | RUÍZ Eloy | 66 |
| 78 | CARLSEN Kirk | 68 |
| 81 | HOWES Alex | 61 |
| 83 | CANO Jose Luis | 64 |
| 97 | NAZARET Magno | 65 |