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 + 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Ramos
1
65 kgPanizo
13
72 kgNazaret
29
65 kgdos Santos
31
70 kgSepulveda
32
66 kgArriagada
34
56 kgBulgarelli
40
69 kgNicácio
45
72 kgFiorilli
48
63 kgMay
49
73 kgOchoa
51
62 kgMédici
57
70 kgBrunetta
58
97 kgQuadri
62
67 kgArseno
67
71 kgSeabra
80
67 kgAndriato
86
67 kg
1
65 kgPanizo
13
72 kgNazaret
29
65 kgdos Santos
31
70 kgSepulveda
32
66 kgArriagada
34
56 kgBulgarelli
40
69 kgNicácio
45
72 kgFiorilli
48
63 kgMay
49
73 kgOchoa
51
62 kgMédici
57
70 kgBrunetta
58
97 kgQuadri
62
67 kgArseno
67
71 kgSeabra
80
67 kgAndriato
86
67 kg
Weight (KG) →
Result →
97
56
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMOS Kléber | 65 |
| 13 | PANIZO Gregolry | 72 |
| 29 | NAZARET Magno | 65 |
| 31 | DOS SANTOS Nilceu Aparecido | 70 |
| 32 | SEPULVEDA Luis Fernando | 66 |
| 34 | ARRIAGADA Marcelo Ruben | 56 |
| 40 | BULGARELLI Otavio | 69 |
| 45 | NICÁCIO Pedro | 72 |
| 48 | FIORILLI Tiago | 63 |
| 49 | MAY Márcio | 73 |
| 51 | OCHOA Carlos José | 62 |
| 57 | MÉDICI Matías | 70 |
| 58 | BRUNETTA Guillermo | 97 |
| 62 | QUADRI Hernandes | 67 |
| 67 | ARSENO Alex | 71 |
| 80 | SEABRA Renato | 67 |
| 86 | ANDRIATO Rafael | 67 |