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 + 71
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Guamá
4
61 kgPrado
7
65 kgMansilla
8
68 kgGlasspool
13
73.9 kgRamos
16
65 kgQuishpe
20
70 kgArseno
26
71 kgClancy
36
63 kgOyarzún
39
66 kgCepeda
42
61 kgMonteiro
43
77 kgAmbrose
48
66 kgDilley
51
72 kgStrobel
54
71 kgTræen
59
63 kgNazaret
60
65 kgAffonso
63
63 kgWilmann
72
69 kgAlmonacid
74
60 kgPanizo
76
72 kgMartins
84
70 kgFiorilli
98
63 kg
4
61 kgPrado
7
65 kgMansilla
8
68 kgGlasspool
13
73.9 kgRamos
16
65 kgQuishpe
20
70 kgArseno
26
71 kgClancy
36
63 kgOyarzún
39
66 kgCepeda
42
61 kgMonteiro
43
77 kgAmbrose
48
66 kgDilley
51
72 kgStrobel
54
71 kgTræen
59
63 kgNazaret
60
65 kgAffonso
63
63 kgWilmann
72
69 kgAlmonacid
74
60 kgPanizo
76
72 kgMartins
84
70 kgFiorilli
98
63 kg
Weight (KG) →
Result →
77
60
4
98
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GUAMÁ Byron | 61 |
| 7 | PRADO Ignacio de Jesús | 65 |
| 8 | MANSILLA Luis Miguel | 68 |
| 13 | GLASSPOOL James | 73.9 |
| 16 | RAMOS Kléber | 65 |
| 20 | QUISHPE Carlos Eduardo | 70 |
| 26 | ARSENO Alex | 71 |
| 36 | CLANCY Stephen | 63 |
| 39 | OYARZÚN Carlos Iván | 66 |
| 42 | CEPEDA Jefferson Alveiro | 61 |
| 43 | MONTEIRO Gideoni Rodrigues | 77 |
| 48 | AMBROSE Scott | 66 |
| 51 | DILLEY Benjamin | 72 |
| 54 | STROBEL Simon | 71 |
| 59 | TRÆEN Torstein | 63 |
| 60 | NAZARET Magno | 65 |
| 63 | AFFONSO Murilo | 63 |
| 72 | WILMANN Frederik | 69 |
| 74 | ALMONACID Patricio | 60 |
| 76 | PANIZO Gregolry | 72 |
| 84 | MARTINS Uri | 70 |
| 98 | FIORILLI Tiago | 63 |