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 = -1.4 * weight + 150
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Rosendo
1
66 kgKump
4
68 kgSepúlveda
10
59 kgMédici
17
70 kgEstrada
32
70 kgCabello
33
67 kgMorton
37
62 kgMiraballes
40
76 kgRuíz
42
66 kgLobato
43
64 kgFelline
47
68 kgPelucchi
50
74 kgRathe
80
74 kgMiller
94
54 kgCarlsen
98
68 kgHowes
106
61 kgCorti
107
59 kgCano
109
64 kgKreder
120
70 kg
1
66 kgKump
4
68 kgSepúlveda
10
59 kgMédici
17
70 kgEstrada
32
70 kgCabello
33
67 kgMorton
37
62 kgMiraballes
40
76 kgRuíz
42
66 kgLobato
43
64 kgFelline
47
68 kgPelucchi
50
74 kgRathe
80
74 kgMiller
94
54 kgCarlsen
98
68 kgHowes
106
61 kgCorti
107
59 kgCano
109
64 kgKreder
120
70 kg
Weight (KG) →
Result →
76
54
1
120
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSENDO Jesús | 66 |
| 4 | KUMP Marko | 68 |
| 10 | SEPÚLVEDA Eduardo | 59 |
| 17 | MÉDICI Matías | 70 |
| 32 | ESTRADA Juan Javier | 70 |
| 33 | CABELLO Antonio | 67 |
| 37 | MORTON Lachlan | 62 |
| 40 | MIRABALLES Wilder Sergio | 76 |
| 42 | RUÍZ Eloy | 66 |
| 43 | LOBATO Juan José | 64 |
| 47 | FELLINE Fabio | 68 |
| 50 | PELUCCHI Matteo | 74 |
| 80 | RATHE Jacob | 74 |
| 94 | MILLER Barry | 54 |
| 98 | CARLSEN Kirk | 68 |
| 106 | HOWES Alex | 61 |
| 107 | CORTI Marco | 59 |
| 109 | CANO Jose Luis | 64 |
| 120 | KREDER Raymond | 70 |