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 - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rathe
1
74 kgFelline
2
68 kgCano
3
64 kgMorton
5
62 kgPelucchi
8
74 kgKreder
10
70 kgLobato
15
64 kgSepúlveda
21
59 kgKump
22
68 kgRosendo
24
66 kgMiller
27
54 kgRuíz
34
66 kgCabello
38
67 kgHowes
41
61 kgCorti
42
59 kgMédici
45
70 kgEstrada
56
70 kgCarlsen
66
68 kgMiraballes
72
76 kg
1
74 kgFelline
2
68 kgCano
3
64 kgMorton
5
62 kgPelucchi
8
74 kgKreder
10
70 kgLobato
15
64 kgSepúlveda
21
59 kgKump
22
68 kgRosendo
24
66 kgMiller
27
54 kgRuíz
34
66 kgCabello
38
67 kgHowes
41
61 kgCorti
42
59 kgMédici
45
70 kgEstrada
56
70 kgCarlsen
66
68 kgMiraballes
72
76 kg
Weight (KG) →
Result →
76
54
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATHE Jacob | 74 |
| 2 | FELLINE Fabio | 68 |
| 3 | CANO Jose Luis | 64 |
| 5 | MORTON Lachlan | 62 |
| 8 | PELUCCHI Matteo | 74 |
| 10 | KREDER Raymond | 70 |
| 15 | LOBATO Juan José | 64 |
| 21 | SEPÚLVEDA Eduardo | 59 |
| 22 | KUMP Marko | 68 |
| 24 | ROSENDO Jesús | 66 |
| 27 | MILLER Barry | 54 |
| 34 | RUÍZ Eloy | 66 |
| 38 | CABELLO Antonio | 67 |
| 41 | HOWES Alex | 61 |
| 42 | CORTI Marco | 59 |
| 45 | MÉDICI Matías | 70 |
| 56 | ESTRADA Juan Javier | 70 |
| 66 | CARLSEN Kirk | 68 |
| 72 | MIRABALLES Wilder Sergio | 76 |