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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
De Wilde
1
70 kgPieters
6
82 kgArntz
7
70 kgSkibby
9
70 kgHeirweg
14
73 kgWampers
17
82 kg
1
70 kgPieters
6
82 kgArntz
7
70 kgSkibby
9
70 kgHeirweg
14
73 kgWampers
17
82 kg
Weight (KG) →
Result →
82
70
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 6 | PIETERS Peter | 82 |
| 7 | ARNTZ Marcel | 70 |
| 9 | SKIBBY Jesper | 70 |
| 14 | HEIRWEG Dirk | 73 |
| 17 | WAMPERS Jean-Marie | 82 |