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 = 0.7 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Andriato
1
67 kgRamos
3
65 kgFiorilli
10
63 kgArriagada
13
56 kgNazaret
24
65 kgSeabra
29
67 kgPanizo
31
72 kgBulgarelli
38
69 kgNicácio
47
72 kgBrunetta
49
97 kgOchoa
60
62 kgMay
62
73 kgSepulveda
63
66 kgMédici
64
70 kgArseno
68
71 kgQuadri
71
67 kgdos Santos
85
70 kgMedina
94
65 kg
1
67 kgRamos
3
65 kgFiorilli
10
63 kgArriagada
13
56 kgNazaret
24
65 kgSeabra
29
67 kgPanizo
31
72 kgBulgarelli
38
69 kgNicácio
47
72 kgBrunetta
49
97 kgOchoa
60
62 kgMay
62
73 kgSepulveda
63
66 kgMédici
64
70 kgArseno
68
71 kgQuadri
71
67 kgdos Santos
85
70 kgMedina
94
65 kg
Weight (KG) →
Result →
97
56
1
94
# | Rider | Weight (KG) |
---|---|---|
1 | ANDRIATO Rafael | 67 |
3 | RAMOS Kléber | 65 |
10 | FIORILLI Tiago | 63 |
13 | ARRIAGADA Marcelo Ruben | 56 |
24 | NAZARET Magno | 65 |
29 | SEABRA Renato | 67 |
31 | PANIZO Gregolry | 72 |
38 | BULGARELLI Otavio | 69 |
47 | NICÁCIO Pedro | 72 |
49 | BRUNETTA Guillermo | 97 |
60 | OCHOA Carlos José | 62 |
62 | MAY Márcio | 73 |
63 | SEPULVEDA Luis Fernando | 66 |
64 | MÉDICI Matías | 70 |
68 | ARSENO Alex | 71 |
71 | QUADRI Hernandes | 67 |
85 | DOS SANTOS Nilceu Aparecido | 70 |
94 | MEDINA Jose Alfredo | 65 |