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 = -1.9 * weight + 150
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Panizo
4
72 kgSeabra
9
67 kgGarrido
15
68 kgAlmonacid
21
60 kgMédici
38
70 kgAffonso
41
63 kgFiorilli
50
63 kg
4
72 kgSeabra
9
67 kgGarrido
15
68 kgAlmonacid
21
60 kgMédici
38
70 kgAffonso
41
63 kgFiorilli
50
63 kg
Weight (KG) →
Result →
72
60
4
50
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PANIZO Gregolry | 72 |
| 9 | SEABRA Renato | 67 |
| 15 | GARRIDO Gonzalo | 68 |
| 21 | ALMONACID Patricio | 60 |
| 38 | MÉDICI Matías | 70 |
| 41 | AFFONSO Murilo | 63 |
| 50 | FIORILLI Tiago | 63 |