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 = -19.3 * weight + 1812
This means that on average for every extra kilogram weight a rider loses -19.3 positions in the result.
Raas
1
72 kgThaler
2
60 kgHoste
4
76 kgvan Vliet
990
65 kgZoetemelk
990
68 kgKuiper
990
69 kg
1
72 kgThaler
2
60 kgHoste
4
76 kgvan Vliet
990
65 kgZoetemelk
990
68 kgKuiper
990
69 kg
Weight (KG) →
Result →
76
60
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 2 | THALER Klaus-Peter | 60 |
| 4 | HOSTE Frank | 76 |
| 990 | VAN VLIET Leo | 65 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | KUIPER Hennie | 69 |