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 = 0.4 * weight + 30
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Médici
2
70 kgSepúlveda
12
59 kgRosendo
21
66 kgMorton
32
62 kgCabello
33
67 kgRuíz
36
66 kgEstrada
43
70 kgCarlsen
44
68 kgLobato
48
64 kgCano
53
64 kgKump
63
68 kgFelline
65
68 kgHowes
81
61 kgPelucchi
82
74 kgRathe
84
74 kgCorti
88
59 kgMiraballes
92
76 kgMiller
101
54 kgKreder
105
70 kg
2
70 kgSepúlveda
12
59 kgRosendo
21
66 kgMorton
32
62 kgCabello
33
67 kgRuíz
36
66 kgEstrada
43
70 kgCarlsen
44
68 kgLobato
48
64 kgCano
53
64 kgKump
63
68 kgFelline
65
68 kgHowes
81
61 kgPelucchi
82
74 kgRathe
84
74 kgCorti
88
59 kgMiraballes
92
76 kgMiller
101
54 kgKreder
105
70 kg
Weight (KG) →
Result →
76
54
2
105
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MÉDICI Matías | 70 |
| 12 | SEPÚLVEDA Eduardo | 59 |
| 21 | ROSENDO Jesús | 66 |
| 32 | MORTON Lachlan | 62 |
| 33 | CABELLO Antonio | 67 |
| 36 | RUÍZ Eloy | 66 |
| 43 | ESTRADA Juan Javier | 70 |
| 44 | CARLSEN Kirk | 68 |
| 48 | LOBATO Juan José | 64 |
| 53 | CANO Jose Luis | 64 |
| 63 | KUMP Marko | 68 |
| 65 | FELLINE Fabio | 68 |
| 81 | HOWES Alex | 61 |
| 82 | PELUCCHI Matteo | 74 |
| 84 | RATHE Jacob | 74 |
| 88 | CORTI Marco | 59 |
| 92 | MIRABALLES Wilder Sergio | 76 |
| 101 | MILLER Barry | 54 |
| 105 | KREDER Raymond | 70 |