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 = 2.9 * weight - 153
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Fiorilli
2
63 kgPires
3
63 kgNazaret
4
65 kgMédici
10
70 kgCastanheira
12
70 kgBernabéu
13
66 kgPanizo
14
72 kgBulgarelli
21
69 kgSepulveda
26
66 kgEbsen
29
58 kgNicácio
40
72 kgPagliarini
46
68 kgMansilla
51
68 kgGarrido
62
68 kgAlmonacid
68
60 kgRamos
72
65 kgGrizante
111
79 kgArseno
127
71 kg
2
63 kgPires
3
63 kgNazaret
4
65 kgMédici
10
70 kgCastanheira
12
70 kgBernabéu
13
66 kgPanizo
14
72 kgBulgarelli
21
69 kgSepulveda
26
66 kgEbsen
29
58 kgNicácio
40
72 kgPagliarini
46
68 kgMansilla
51
68 kgGarrido
62
68 kgAlmonacid
68
60 kgRamos
72
65 kgGrizante
111
79 kgArseno
127
71 kg
Weight (KG) →
Result →
79
58
2
127
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIORILLI Tiago | 63 |
| 3 | PIRES Bruno | 63 |
| 4 | NAZARET Magno | 65 |
| 10 | MÉDICI Matías | 70 |
| 12 | CASTANHEIRA Bruno Miguel | 70 |
| 13 | BERNABÉU David | 66 |
| 14 | PANIZO Gregolry | 72 |
| 21 | BULGARELLI Otavio | 69 |
| 26 | SEPULVEDA Luis Fernando | 66 |
| 29 | EBSEN John | 58 |
| 40 | NICÁCIO Pedro | 72 |
| 46 | PAGLIARINI Luciano André | 68 |
| 51 | MANSILLA Luis Miguel | 68 |
| 62 | GARRIDO José Antonio | 68 |
| 68 | ALMONACID Patricio | 60 |
| 72 | RAMOS Kléber | 65 |
| 111 | GRIZANTE André Luiz | 79 |
| 127 | ARSENO Alex | 71 |