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 = 0.9 * weight - 54
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Kint
2
74 kgSchepers
6
80 kgDeloor
8
72 kgWauters
10
72 kgvan der Ruit
14
80 kgMasson jr
29
78 kg
2
74 kgSchepers
6
80 kgDeloor
8
72 kgWauters
10
72 kgvan der Ruit
14
80 kgMasson jr
29
78 kg
Weight (KG) →
Result →
80
72
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KINT Marcel | 74 |
| 6 | SCHEPERS Alfons | 80 |
| 8 | DELOOR Alfons | 72 |
| 10 | WAUTERS Jean | 72 |
| 14 | VAN DER RUIT Gerrit | 80 |
| 29 | MASSON JR Émile | 78 |