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.
Dufaux
1
60 kgRinero
2
65 kgPeña
3
65 kgBouvard
4
70 kgVirenque
5
65 kgSalmon
6
60 kgAebersold
9
58 kgBerzin
10
64 kg
1
60 kgRinero
2
65 kgPeña
3
65 kgBouvard
4
70 kgVirenque
5
65 kgSalmon
6
60 kgAebersold
9
58 kgBerzin
10
64 kg
Weight (KG) →
Result →
70
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 2 | RINERO Christophe | 65 |
| 3 | PEÑA Victor Hugo | 65 |
| 4 | BOUVARD Gilles | 70 |
| 5 | VIRENQUE Richard | 65 |
| 6 | SALMON Benoît | 60 |
| 9 | AEBERSOLD Niki | 58 |
| 10 | BERZIN Evgeni | 64 |