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 = -1.1 * weight + 80
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Moberg Jørgensen
1
73 kgDelpech
3
72 kgMalacarne
4
73 kgTombak
7
71 kgVandenbroucke
8
67 kgDrancourt
9
68 kg
1
73 kgDelpech
3
72 kgMalacarne
4
73 kgTombak
7
71 kgVandenbroucke
8
67 kgDrancourt
9
68 kg
Weight (KG) →
Result →
73
67
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOBERG JØRGENSEN Christian | 73 |
| 3 | DELPECH Jean-Luc | 72 |
| 4 | MALACARNE Gael | 73 |
| 7 | TOMBAK Janek | 71 |
| 8 | VANDENBROUCKE Frank | 67 |
| 9 | DRANCOURT Pierre | 68 |