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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Janssen
2
76 kgRostollan
12
68 kgDuez
17
64 kgCrinnion
31
75 kgLacombe
33
77 kg
2
76 kgRostollan
12
68 kgDuez
17
64 kgCrinnion
31
75 kgLacombe
33
77 kg
Weight (KG) →
Result →
77
64
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Jan | 76 |
| 12 | ROSTOLLAN Louis | 68 |
| 17 | DUEZ Henri | 64 |
| 31 | CRINNION Peter | 75 |
| 33 | LACOMBE Roland | 77 |