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 = -2.5 * weight + 198
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Panizo
15
72 kgSeabra
18
67 kgGarrido
24
68 kgAffonso
27
63 kgMédici
41
70 kgFiorilli
45
63 kgAlmonacid
58
60 kg
15
72 kgSeabra
18
67 kgGarrido
24
68 kgAffonso
27
63 kgMédici
41
70 kgFiorilli
45
63 kgAlmonacid
58
60 kg
Weight (KG) →
Result →
72
60
15
58
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | PANIZO Gregolry | 72 |
| 18 | SEABRA Renato | 67 |
| 24 | GARRIDO Gonzalo | 68 |
| 27 | AFFONSO Murilo | 63 |
| 41 | MÉDICI Matías | 70 |
| 45 | FIORILLI Tiago | 63 |
| 58 | ALMONACID Patricio | 60 |