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 = -1.6 * weight + 138
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Sepúlveda
2
59 kgKreder
5
70 kgCabello
8
67 kgLobato
19
64 kgRathe
20
74 kgRosendo
21
66 kgFelline
22
68 kgRuíz
25
66 kgEstrada
27
70 kgPelucchi
28
74 kgHowes
29
61 kgMiraballes
34
76 kgMorton
36
62 kgCorti
40
59 kgKump
48
68 kgCarlsen
54
68 kgMédici
55
70 kgCano
60
64 kgMiller
108
54 kg
2
59 kgKreder
5
70 kgCabello
8
67 kgLobato
19
64 kgRathe
20
74 kgRosendo
21
66 kgFelline
22
68 kgRuíz
25
66 kgEstrada
27
70 kgPelucchi
28
74 kgHowes
29
61 kgMiraballes
34
76 kgMorton
36
62 kgCorti
40
59 kgKump
48
68 kgCarlsen
54
68 kgMédici
55
70 kgCano
60
64 kgMiller
108
54 kg
Weight (KG) →
Result →
76
54
2
108
# | Rider | Weight (KG) |
---|---|---|
2 | SEPÚLVEDA Eduardo | 59 |
5 | KREDER Raymond | 70 |
8 | CABELLO Antonio | 67 |
19 | LOBATO Juan José | 64 |
20 | RATHE Jacob | 74 |
21 | ROSENDO Jesús | 66 |
22 | FELLINE Fabio | 68 |
25 | RUÍZ Eloy | 66 |
27 | ESTRADA Juan Javier | 70 |
28 | PELUCCHI Matteo | 74 |
29 | HOWES Alex | 61 |
34 | MIRABALLES Wilder Sergio | 76 |
36 | MORTON Lachlan | 62 |
40 | CORTI Marco | 59 |
48 | KUMP Marko | 68 |
54 | CARLSEN Kirk | 68 |
55 | MÉDICI Matías | 70 |
60 | CANO Jose Luis | 64 |
108 | MILLER Barry | 54 |