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 = 160.1 * weight - 10570
This means that on average for every extra kilogram weight a rider loses 160.1 positions in the result.
Zoetemelk
4
68 kgFignon
5
67 kgVanderaerden
990
74 kgBauer
990
72 kgvan der Poel
990
70 kgDe Wilde
990
70 kg
4
68 kgFignon
5
67 kgVanderaerden
990
74 kgBauer
990
72 kgvan der Poel
990
70 kgDe Wilde
990
70 kg
Weight (KG) →
Result →
74
67
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZOETEMELK Joop | 68 |
| 5 | FIGNON Laurent | 67 |
| 990 | VANDERAERDEN Eric | 74 |
| 990 | BAUER Steve | 72 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | DE WILDE Etienne | 70 |