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 = -70.6 * weight + 5394
This means that on average for every extra kilogram weight a rider loses -70.6 positions in the result.
Gayant
2
69 kgMadiot
5
68 kgZoetemelk
990
68 kgvan der Poel
990
70 kgvan Vliet
990
65 kg
2
69 kgMadiot
5
68 kgZoetemelk
990
68 kgvan der Poel
990
70 kgvan Vliet
990
65 kg
Weight (KG) →
Result →
70
65
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAYANT Martial | 69 |
| 5 | MADIOT Marc | 68 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | VAN VLIET Leo | 65 |