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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pélissier
1
80 kgFerrara
2
62 kgDegy
3
74 kgPaoli
6
56 kgAmenc
12
72 kgLoisel
13
53 kg
1
80 kgFerrara
2
62 kgDegy
3
74 kgPaoli
6
56 kgAmenc
12
72 kgLoisel
13
53 kg
Weight (KG) →
Result →
80
53
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉLISSIER Francis | 80 |
| 2 | FERRARA Henri | 62 |
| 3 | DEGY Gaston | 74 |
| 6 | PAOLI Napoléon | 56 |
| 12 | AMENC Noël | 72 |
| 13 | LOISEL Julien | 53 |