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 = -1.3 * weight + 106
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Seabra
1
67 kgPanizo
5
72 kgGarrido
8
68 kgAlmonacid
10
60 kgMédici
32
70 kgFiorilli
35
63 kgAffonso
45
63 kg
1
67 kgPanizo
5
72 kgGarrido
8
68 kgAlmonacid
10
60 kgMédici
32
70 kgFiorilli
35
63 kgAffonso
45
63 kg
Weight (KG) →
Result →
72
60
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEABRA Renato | 67 |
| 5 | PANIZO Gregolry | 72 |
| 8 | GARRIDO Gonzalo | 68 |
| 10 | ALMONACID Patricio | 60 |
| 32 | MÉDICI Matías | 70 |
| 35 | FIORILLI Tiago | 63 |
| 45 | AFFONSO Murilo | 63 |