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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Fignon
1
67 kgInduráin
2
76 kgMarie
3
68 kgDuclos-Lassalle
4
73 kgWampers
5
82 kg
1
67 kgInduráin
2
76 kgMarie
3
68 kgDuclos-Lassalle
4
73 kgWampers
5
82 kg
Weight (KG) →
Result →
82
67
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 2 | INDURÁIN Miguel | 76 |
| 3 | MARIE Thierry | 68 |
| 4 | DUCLOS-LASSALLE Gilbert | 73 |
| 5 | WAMPERS Jean-Marie | 82 |