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 = -0.6 * weight + 106
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Mansilla
2
68 kgChapman
13
78 kgGarrido
16
68 kgPires
31
63 kgNazaret
37
65 kgPagliarini
46
68 kgPanizo
49
72 kgBernabéu
50
66 kgBulgarelli
60
69 kgRamos
65
65 kgFiorilli
74
63 kgGrizante
96
79 kgEbsen
97
58 kgMédici
100
70 kgSepulveda
102
66 kgCastanheira
104
70 kgAlmonacid
116
60 kgNicácio
117
72 kgArseno
120
71 kg
2
68 kgChapman
13
78 kgGarrido
16
68 kgPires
31
63 kgNazaret
37
65 kgPagliarini
46
68 kgPanizo
49
72 kgBernabéu
50
66 kgBulgarelli
60
69 kgRamos
65
65 kgFiorilli
74
63 kgGrizante
96
79 kgEbsen
97
58 kgMédici
100
70 kgSepulveda
102
66 kgCastanheira
104
70 kgAlmonacid
116
60 kgNicácio
117
72 kgArseno
120
71 kg
Weight (KG) →
Result →
79
58
2
120
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MANSILLA Luis Miguel | 68 |
| 13 | CHAPMAN Joe | 78 |
| 16 | GARRIDO José Antonio | 68 |
| 31 | PIRES Bruno | 63 |
| 37 | NAZARET Magno | 65 |
| 46 | PAGLIARINI Luciano André | 68 |
| 49 | PANIZO Gregolry | 72 |
| 50 | BERNABÉU David | 66 |
| 60 | BULGARELLI Otavio | 69 |
| 65 | RAMOS Kléber | 65 |
| 74 | FIORILLI Tiago | 63 |
| 96 | GRIZANTE André Luiz | 79 |
| 97 | EBSEN John | 58 |
| 100 | MÉDICI Matías | 70 |
| 102 | SEPULVEDA Luis Fernando | 66 |
| 104 | CASTANHEIRA Bruno Miguel | 70 |
| 116 | ALMONACID Patricio | 60 |
| 117 | NICÁCIO Pedro | 72 |
| 120 | ARSENO Alex | 71 |