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 = -1.4 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Seabra
7
67 kgPanizo
15
72 kgGarrido
17
68 kgAlmonacid
28
60 kgFiorilli
52
63 kgAffonso
55
63 kgMédici
58
70 kg
7
67 kgPanizo
15
72 kgGarrido
17
68 kgAlmonacid
28
60 kgFiorilli
52
63 kgAffonso
55
63 kgMédici
58
70 kg
Weight (KG) →
Result →
72
60
7
58
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SEABRA Renato | 67 |
| 15 | PANIZO Gregolry | 72 |
| 17 | GARRIDO Gonzalo | 68 |
| 28 | ALMONACID Patricio | 60 |
| 52 | FIORILLI Tiago | 63 |
| 55 | AFFONSO Murilo | 63 |
| 58 | MÉDICI Matías | 70 |