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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rinero
1
65 kgHinault
2
63 kgDufaux
3
60 kgMilesi
4
78 kgMadouas
6
70 kgMancebo
8
64 kgAebersold
10
58 kg
1
65 kgHinault
2
63 kgDufaux
3
60 kgMilesi
4
78 kgMadouas
6
70 kgMancebo
8
64 kgAebersold
10
58 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RINERO Christophe | 65 |
| 2 | HINAULT Sébastien | 63 |
| 3 | DUFAUX Laurent | 60 |
| 4 | MILESI Marco | 78 |
| 6 | MADOUAS Laurent | 70 |
| 8 | MANCEBO Francisco | 64 |
| 10 | AEBERSOLD Niki | 58 |