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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Martinelli
5
74 kgMarcussen
10
70 kgMinetti
15
69 kgDemierre
22
70 kgWampers
23
82 kg
5
74 kgMarcussen
10
70 kgMinetti
15
69 kgDemierre
22
70 kgWampers
23
82 kg
Weight (KG) →
Result →
82
69
5
23
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MARTINELLI Giuseppe | 74 |
| 10 | MARCUSSEN Jørgen | 70 |
| 15 | MINETTI Alberto | 69 |
| 22 | DEMIERRE Serge | 70 |
| 23 | WAMPERS Jean-Marie | 82 |