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 = 0.1 * weight + 46
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Panizo
2
72 kgRamos
5
65 kgSeabra
19
67 kgNazaret
23
65 kgBulgarelli
37
69 kgArseno
42
71 kgFiorilli
46
63 kgNicácio
53
72 kgMay
55
73 kgAndriato
56
67 kgQuadri
63
67 kgBrunetta
65
97 kgMédici
75
70 kgArriagada
76
56 kgOchoa
77
62 kgSepulveda
81
66 kgdos Santos
103
70 kg
2
72 kgRamos
5
65 kgSeabra
19
67 kgNazaret
23
65 kgBulgarelli
37
69 kgArseno
42
71 kgFiorilli
46
63 kgNicácio
53
72 kgMay
55
73 kgAndriato
56
67 kgQuadri
63
67 kgBrunetta
65
97 kgMédici
75
70 kgArriagada
76
56 kgOchoa
77
62 kgSepulveda
81
66 kgdos Santos
103
70 kg
Weight (KG) →
Result →
97
56
2
103
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PANIZO Gregolry | 72 |
| 5 | RAMOS Kléber | 65 |
| 19 | SEABRA Renato | 67 |
| 23 | NAZARET Magno | 65 |
| 37 | BULGARELLI Otavio | 69 |
| 42 | ARSENO Alex | 71 |
| 46 | FIORILLI Tiago | 63 |
| 53 | NICÁCIO Pedro | 72 |
| 55 | MAY Márcio | 73 |
| 56 | ANDRIATO Rafael | 67 |
| 63 | QUADRI Hernandes | 67 |
| 65 | BRUNETTA Guillermo | 97 |
| 75 | MÉDICI Matías | 70 |
| 76 | ARRIAGADA Marcelo Ruben | 56 |
| 77 | OCHOA Carlos José | 62 |
| 81 | SEPULVEDA Luis Fernando | 66 |
| 103 | DOS SANTOS Nilceu Aparecido | 70 |