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 * weight - 26
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Fiorilli
1
63 kgNazaret
3
65 kgdos Santos
6
70 kgAndriato
8
67 kgSepulveda
22
66 kgRamos
26
65 kgSeabra
29
67 kgMay
42
73 kgPanizo
49
72 kgBulgarelli
54
69 kgArriagada
57
56 kgArseno
60
71 kgQuadri
65
67 kgOchoa
67
62 kgMédici
71
70 kgNicácio
74
72 kgBrunetta
80
97 kgMedina
104
65 kg
1
63 kgNazaret
3
65 kgdos Santos
6
70 kgAndriato
8
67 kgSepulveda
22
66 kgRamos
26
65 kgSeabra
29
67 kgMay
42
73 kgPanizo
49
72 kgBulgarelli
54
69 kgArriagada
57
56 kgArseno
60
71 kgQuadri
65
67 kgOchoa
67
62 kgMédici
71
70 kgNicácio
74
72 kgBrunetta
80
97 kgMedina
104
65 kg
Weight (KG) →
Result →
97
56
1
104
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIORILLI Tiago | 63 |
| 3 | NAZARET Magno | 65 |
| 6 | DOS SANTOS Nilceu Aparecido | 70 |
| 8 | ANDRIATO Rafael | 67 |
| 22 | SEPULVEDA Luis Fernando | 66 |
| 26 | RAMOS Kléber | 65 |
| 29 | SEABRA Renato | 67 |
| 42 | MAY Márcio | 73 |
| 49 | PANIZO Gregolry | 72 |
| 54 | BULGARELLI Otavio | 69 |
| 57 | ARRIAGADA Marcelo Ruben | 56 |
| 60 | ARSENO Alex | 71 |
| 65 | QUADRI Hernandes | 67 |
| 67 | OCHOA Carlos José | 62 |
| 71 | MÉDICI Matías | 70 |
| 74 | NICÁCIO Pedro | 72 |
| 80 | BRUNETTA Guillermo | 97 |
| 104 | MEDINA Jose Alfredo | 65 |