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 = 66.2 * weight - 4542
This means that on average for every extra kilogram weight a rider loses 66.2 positions in the result.
Ville
1
68 kgDorfeuille
2
66 kgNat
3
70 kgPelletier
6
72 kgLacolle
990
82 kg
1
68 kgDorfeuille
2
66 kgNat
3
70 kgPelletier
6
72 kgLacolle
990
82 kg
Weight (KG) →
Result →
82
66
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLE Maurice | 68 |
| 2 | DORFEUILLE Etienne | 66 |
| 3 | NAT Jose | 70 |
| 6 | PELLETIER José | 72 |
| 990 | LACOLLE Roger | 82 |