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 = 0.2 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Almonacid
3
60 kgPanizo
6
72 kgGálviz
13
65 kgSepulveda
23
66 kgBulgarelli
43
69 kgAffonso
46
63 kg
3
60 kgPanizo
6
72 kgGálviz
13
65 kgSepulveda
23
66 kgBulgarelli
43
69 kgAffonso
46
63 kg
Weight (KG) →
Result →
72
60
3
46
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ALMONACID Patricio | 60 |
| 6 | PANIZO Gregolry | 72 |
| 13 | GÁLVIZ Carlos Johan | 65 |
| 23 | SEPULVEDA Luis Fernando | 66 |
| 43 | BULGARELLI Otavio | 69 |
| 46 | AFFONSO Murilo | 63 |