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 = -0.8 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Garrido
2
68 kgSeabra
3
67 kgAlmonacid
9
60 kgPanizo
10
72 kgFiorilli
38
63 kgMédici
44
70 kgAffonso
47
63 kg
2
68 kgSeabra
3
67 kgAlmonacid
9
60 kgPanizo
10
72 kgFiorilli
38
63 kgMédici
44
70 kgAffonso
47
63 kg
Weight (KG) →
Result →
72
60
2
47
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GARRIDO Gonzalo | 68 |
| 3 | SEABRA Renato | 67 |
| 9 | ALMONACID Patricio | 60 |
| 10 | PANIZO Gregolry | 72 |
| 38 | FIORILLI Tiago | 63 |
| 44 | MÉDICI Matías | 70 |
| 47 | AFFONSO Murilo | 63 |