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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ferrara
1
62 kgPélissier
2
80 kgDegy
5
74 kgAmenc
8
72 kgPaoli
11
56 kg
1
62 kgPélissier
2
80 kgDegy
5
74 kgAmenc
8
72 kgPaoli
11
56 kg
Weight (KG) →
Result →
80
56
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRARA Henri | 62 |
| 2 | PÉLISSIER Francis | 80 |
| 5 | DEGY Gaston | 74 |
| 8 | AMENC Noël | 72 |
| 11 | PAOLI Napoléon | 56 |