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 = 2.4 * weight - 137
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Guamá
2
61 kgRamos
4
65 kgAffonso
5
63 kgPita
6
67 kgStević
7
66 kgRincon Diaz
8
61 kgHenttala
14
73 kgMachado Silva
15
63 kgAndriato
16
67 kgCepeda
18
61 kgMédici
24
70 kgCorella
27
75 kgChaman
37
74 kgPeron
48
70 kgCherhal
49
60 kgWilliams
57
75 kgNicácio
59
72 kgde Keijzer
61
72.6 kgGlasspool
63
73.9 kg
2
61 kgRamos
4
65 kgAffonso
5
63 kgPita
6
67 kgStević
7
66 kgRincon Diaz
8
61 kgHenttala
14
73 kgMachado Silva
15
63 kgAndriato
16
67 kgCepeda
18
61 kgMédici
24
70 kgCorella
27
75 kgChaman
37
74 kgPeron
48
70 kgCherhal
49
60 kgWilliams
57
75 kgNicácio
59
72 kgde Keijzer
61
72.6 kgGlasspool
63
73.9 kg
Weight (KG) →
Result →
75
60
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 4 | RAMOS Kléber | 65 |
| 5 | AFFONSO Murilo | 63 |
| 6 | PITA Cristian David | 67 |
| 7 | STEVIĆ Ivan | 66 |
| 8 | RINCON DIAZ Wilson Ramiro | 61 |
| 14 | HENTTALA Joonas | 73 |
| 15 | MACHADO SILVA Gabriel | 63 |
| 16 | ANDRIATO Rafael | 67 |
| 18 | CEPEDA Jefferson Alveiro | 61 |
| 24 | MÉDICI Matías | 70 |
| 27 | CORELLA Rene | 75 |
| 37 | CHAMAN Lauro Cesar | 74 |
| 48 | PERON Andrea | 70 |
| 49 | CHERHAL Corentin | 60 |
| 57 | WILLIAMS Christopher | 75 |
| 59 | NICÁCIO Pedro | 72 |
| 61 | DE KEIJZER Gerd | 72.6 |
| 63 | GLASSPOOL James | 73.9 |