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 - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Panizo
2
72 kgAlmonacid
3
60 kgGálviz
12
65 kgSepulveda
25
66 kgAffonso
36
63 kgBulgarelli
52
69 kg
2
72 kgAlmonacid
3
60 kgGálviz
12
65 kgSepulveda
25
66 kgAffonso
36
63 kgBulgarelli
52
69 kg
Weight (KG) →
Result →
72
60
2
52
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PANIZO Gregolry | 72 |
| 3 | ALMONACID Patricio | 60 |
| 12 | GÁLVIZ Carlos Johan | 65 |
| 25 | SEPULVEDA Luis Fernando | 66 |
| 36 | AFFONSO Murilo | 63 |
| 52 | BULGARELLI Otavio | 69 |