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 = -2.6 * weight + 216
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Kreder
4
70 kgKump
5
68 kgPelucchi
6
74 kgLobato
9
64 kgRosendo
20
66 kgRathe
23
74 kgCabello
24
67 kgSepúlveda
30
59 kgCorti
36
59 kgMédici
39
70 kgCarlsen
46
68 kgMiraballes
48
76 kgRuíz
49
66 kgFelline
53
68 kgEstrada
54
70 kgMorton
57
62 kgCano
77
64 kgHowes
97
61 kgMiller
105
54 kg
4
70 kgKump
5
68 kgPelucchi
6
74 kgLobato
9
64 kgRosendo
20
66 kgRathe
23
74 kgCabello
24
67 kgSepúlveda
30
59 kgCorti
36
59 kgMédici
39
70 kgCarlsen
46
68 kgMiraballes
48
76 kgRuíz
49
66 kgFelline
53
68 kgEstrada
54
70 kgMorton
57
62 kgCano
77
64 kgHowes
97
61 kgMiller
105
54 kg
Weight (KG) →
Result →
76
54
4
105
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KREDER Raymond | 70 |
| 5 | KUMP Marko | 68 |
| 6 | PELUCCHI Matteo | 74 |
| 9 | LOBATO Juan José | 64 |
| 20 | ROSENDO Jesús | 66 |
| 23 | RATHE Jacob | 74 |
| 24 | CABELLO Antonio | 67 |
| 30 | SEPÚLVEDA Eduardo | 59 |
| 36 | CORTI Marco | 59 |
| 39 | MÉDICI Matías | 70 |
| 46 | CARLSEN Kirk | 68 |
| 48 | MIRABALLES Wilder Sergio | 76 |
| 49 | RUÍZ Eloy | 66 |
| 53 | FELLINE Fabio | 68 |
| 54 | ESTRADA Juan Javier | 70 |
| 57 | MORTON Lachlan | 62 |
| 77 | CANO Jose Luis | 64 |
| 97 | HOWES Alex | 61 |
| 105 | MILLER Barry | 54 |