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 = 2 * weight - 88
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Ramos
3
65 kgFiorilli
8
63 kgNazaret
9
65 kgPires
10
63 kgBernabéu
19
66 kgMansilla
27
68 kgPanizo
29
72 kgCastanheira
30
70 kgMédici
40
70 kgEbsen
43
58 kgSepulveda
44
66 kgNicácio
52
72 kgPagliarini
73
68 kgGarrido
83
68 kgGrizante
85
79 kgAlmonacid
87
60 kgBulgarelli
122
69 kg
3
65 kgFiorilli
8
63 kgNazaret
9
65 kgPires
10
63 kgBernabéu
19
66 kgMansilla
27
68 kgPanizo
29
72 kgCastanheira
30
70 kgMédici
40
70 kgEbsen
43
58 kgSepulveda
44
66 kgNicácio
52
72 kgPagliarini
73
68 kgGarrido
83
68 kgGrizante
85
79 kgAlmonacid
87
60 kgBulgarelli
122
69 kg
Weight (KG) →
Result →
79
58
3
122
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAMOS Kléber | 65 |
| 8 | FIORILLI Tiago | 63 |
| 9 | NAZARET Magno | 65 |
| 10 | PIRES Bruno | 63 |
| 19 | BERNABÉU David | 66 |
| 27 | MANSILLA Luis Miguel | 68 |
| 29 | PANIZO Gregolry | 72 |
| 30 | CASTANHEIRA Bruno Miguel | 70 |
| 40 | MÉDICI Matías | 70 |
| 43 | EBSEN John | 58 |
| 44 | SEPULVEDA Luis Fernando | 66 |
| 52 | NICÁCIO Pedro | 72 |
| 73 | PAGLIARINI Luciano André | 68 |
| 83 | GARRIDO José Antonio | 68 |
| 85 | GRIZANTE André Luiz | 79 |
| 87 | ALMONACID Patricio | 60 |
| 122 | BULGARELLI Otavio | 69 |