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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pélissier
2
80 kgDegy
3
74 kgFerrara
4
62 kgMatheron
5
63 kgPaoli
6
56 kgAmenc
7
72 kgLoisel
10
53 kg
2
80 kgDegy
3
74 kgFerrara
4
62 kgMatheron
5
63 kgPaoli
6
56 kgAmenc
7
72 kgLoisel
10
53 kg
Weight (KG) →
Result →
80
53
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PÉLISSIER Francis | 80 |
| 3 | DEGY Gaston | 74 |
| 4 | FERRARA Henri | 62 |
| 5 | MATHERON Marius | 63 |
| 6 | PAOLI Napoléon | 56 |
| 7 | AMENC Noël | 72 |
| 10 | LOISEL Julien | 53 |