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 = 2.7 * weight - 143
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Almonacid
13
60 kgPanizo
20
72 kgGálviz
24
65 kgAffonso
37
63 kgBulgarelli
46
69 kgSepulveda
49
66 kgMonteiro
79
77 kg
13
60 kgPanizo
20
72 kgGálviz
24
65 kgAffonso
37
63 kgBulgarelli
46
69 kgSepulveda
49
66 kgMonteiro
79
77 kg
Weight (KG) →
Result →
77
60
13
79
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | ALMONACID Patricio | 60 |
| 20 | PANIZO Gregolry | 72 |
| 24 | GÁLVIZ Carlos Johan | 65 |
| 37 | AFFONSO Murilo | 63 |
| 46 | BULGARELLI Otavio | 69 |
| 49 | SEPULVEDA Luis Fernando | 66 |
| 79 | MONTEIRO Gideoni Rodrigues | 77 |