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 = 1.2 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Noval
9
71 kgValverde
18
61 kgIsasi
19
70 kgCalvente
25
55 kgMartínez
26
70 kgFerrío
28
51 kgZandio
29
73 kgEfimkin
37
67 kgAstarloza
45
72 kgPérez
52
61 kgLandaluze
53
65 kgPérez
54
76 kgEfimkin
56
70 kgSerrano
64
67 kgClerc
66
71 kgKuyckx
67
68 kgVerdugo
68
71 kgLarsson
84
77 kg
9
71 kgValverde
18
61 kgIsasi
19
70 kgCalvente
25
55 kgMartínez
26
70 kgFerrío
28
51 kgZandio
29
73 kgEfimkin
37
67 kgAstarloza
45
72 kgPérez
52
61 kgLandaluze
53
65 kgPérez
54
76 kgEfimkin
56
70 kgSerrano
64
67 kgClerc
66
71 kgKuyckx
67
68 kgVerdugo
68
71 kgLarsson
84
77 kg
Weight (KG) →
Result →
77
51
9
84
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | NOVAL Benjamín | 71 |
| 18 | VALVERDE Alejandro | 61 |
| 19 | ISASI Iñaki | 70 |
| 25 | CALVENTE Manuel | 55 |
| 26 | MARTÍNEZ Egoi | 70 |
| 28 | FERRÍO Jorge | 51 |
| 29 | ZANDIO Xabier | 73 |
| 37 | EFIMKIN Vladimir | 67 |
| 45 | ASTARLOZA Mikel | 72 |
| 52 | PÉREZ Santiago | 61 |
| 53 | LANDALUZE Iñigo | 65 |
| 54 | PÉREZ Francisco | 76 |
| 56 | EFIMKIN Alexander | 70 |
| 64 | SERRANO Ricardo | 67 |
| 66 | CLERC Aurélien | 71 |
| 67 | KUYCKX Jan | 68 |
| 68 | VERDUGO Gorka | 71 |
| 84 | LARSSON Gustav Erik | 77 |