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 = -1.3 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Nazaret
1
65 kgMédici
2
70 kgNicácio
3
72 kgBrunetta
6
97 kgPanizo
10
72 kgSeabra
13
67 kgArseno
14
71 kgMay
17
73 kgBulgarelli
28
69 kgFiorilli
31
63 kgOchoa
36
62 kgSepulveda
38
66 kgAndriato
40
67 kgMedina
45
65 kgArriagada
54
56 kgdos Santos
74
70 kgRamos
78
65 kgQuadri
84
67 kg
1
65 kgMédici
2
70 kgNicácio
3
72 kgBrunetta
6
97 kgPanizo
10
72 kgSeabra
13
67 kgArseno
14
71 kgMay
17
73 kgBulgarelli
28
69 kgFiorilli
31
63 kgOchoa
36
62 kgSepulveda
38
66 kgAndriato
40
67 kgMedina
45
65 kgArriagada
54
56 kgdos Santos
74
70 kgRamos
78
65 kgQuadri
84
67 kg
Weight (KG) →
Result →
97
56
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 2 | MÉDICI Matías | 70 |
| 3 | NICÁCIO Pedro | 72 |
| 6 | BRUNETTA Guillermo | 97 |
| 10 | PANIZO Gregolry | 72 |
| 13 | SEABRA Renato | 67 |
| 14 | ARSENO Alex | 71 |
| 17 | MAY Márcio | 73 |
| 28 | BULGARELLI Otavio | 69 |
| 31 | FIORILLI Tiago | 63 |
| 36 | OCHOA Carlos José | 62 |
| 38 | SEPULVEDA Luis Fernando | 66 |
| 40 | ANDRIATO Rafael | 67 |
| 45 | MEDINA Jose Alfredo | 65 |
| 54 | ARRIAGADA Marcelo Ruben | 56 |
| 74 | DOS SANTOS Nilceu Aparecido | 70 |
| 78 | RAMOS Kléber | 65 |
| 84 | QUADRI Hernandes | 67 |