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 = 4.7 * weight - 272
This means that on average for every extra kilogram weight a rider loses 4.7 positions in the result.
Pires
2
63 kgNazaret
3
65 kgPanizo
5
72 kgFiorilli
10
63 kgEbsen
11
58 kgMédici
13
70 kgCastanheira
15
70 kgBernabéu
16
66 kgSepulveda
32
66 kgBulgarelli
37
69 kgRamos
54
65 kgPagliarini
60
68 kgAlmonacid
68
60 kgMansilla
73
68 kgGarrido
98
68 kgNicácio
104
72 kgChapman
106
78 kgArseno
119
71 kgGrizante
128
79 kg
2
63 kgNazaret
3
65 kgPanizo
5
72 kgFiorilli
10
63 kgEbsen
11
58 kgMédici
13
70 kgCastanheira
15
70 kgBernabéu
16
66 kgSepulveda
32
66 kgBulgarelli
37
69 kgRamos
54
65 kgPagliarini
60
68 kgAlmonacid
68
60 kgMansilla
73
68 kgGarrido
98
68 kgNicácio
104
72 kgChapman
106
78 kgArseno
119
71 kgGrizante
128
79 kg
Weight (KG) →
Result →
79
58
2
128
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIRES Bruno | 63 |
| 3 | NAZARET Magno | 65 |
| 5 | PANIZO Gregolry | 72 |
| 10 | FIORILLI Tiago | 63 |
| 11 | EBSEN John | 58 |
| 13 | MÉDICI Matías | 70 |
| 15 | CASTANHEIRA Bruno Miguel | 70 |
| 16 | BERNABÉU David | 66 |
| 32 | SEPULVEDA Luis Fernando | 66 |
| 37 | BULGARELLI Otavio | 69 |
| 54 | RAMOS Kléber | 65 |
| 60 | PAGLIARINI Luciano André | 68 |
| 68 | ALMONACID Patricio | 60 |
| 73 | MANSILLA Luis Miguel | 68 |
| 98 | GARRIDO José Antonio | 68 |
| 104 | NICÁCIO Pedro | 72 |
| 106 | CHAPMAN Joe | 78 |
| 119 | ARSENO Alex | 71 |
| 128 | GRIZANTE André Luiz | 79 |