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 = 1.5 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
dos Santos
1
70 kgAndriato
2
67 kgRamos
3
65 kgSeabra
14
67 kgArriagada
16
56 kgNazaret
24
65 kgBulgarelli
27
69 kgMay
29
73 kgFiorilli
37
63 kgArseno
52
71 kgMédici
53
70 kgSepulveda
66
66 kgQuadri
71
67 kgPanizo
74
72 kgNicácio
77
72 kgOchoa
81
62 kgMedina
91
65 kgBrunetta
94
97 kg
1
70 kgAndriato
2
67 kgRamos
3
65 kgSeabra
14
67 kgArriagada
16
56 kgNazaret
24
65 kgBulgarelli
27
69 kgMay
29
73 kgFiorilli
37
63 kgArseno
52
71 kgMédici
53
70 kgSepulveda
66
66 kgQuadri
71
67 kgPanizo
74
72 kgNicácio
77
72 kgOchoa
81
62 kgMedina
91
65 kgBrunetta
94
97 kg
Weight (KG) →
Result →
97
56
1
94
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOS SANTOS Nilceu Aparecido | 70 |
| 2 | ANDRIATO Rafael | 67 |
| 3 | RAMOS Kléber | 65 |
| 14 | SEABRA Renato | 67 |
| 16 | ARRIAGADA Marcelo Ruben | 56 |
| 24 | NAZARET Magno | 65 |
| 27 | BULGARELLI Otavio | 69 |
| 29 | MAY Márcio | 73 |
| 37 | FIORILLI Tiago | 63 |
| 52 | ARSENO Alex | 71 |
| 53 | MÉDICI Matías | 70 |
| 66 | SEPULVEDA Luis Fernando | 66 |
| 71 | QUADRI Hernandes | 67 |
| 74 | PANIZO Gregolry | 72 |
| 77 | NICÁCIO Pedro | 72 |
| 81 | OCHOA Carlos José | 62 |
| 91 | MEDINA Jose Alfredo | 65 |
| 94 | BRUNETTA Guillermo | 97 |