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 = -110.5 * weight + 8411
This means that on average for every extra kilogram weight a rider loses -110.5 positions in the result.
Vanderaerden
1
74 kgDe Wilde
3
70 kgFignon
990
67 kgBauer
990
72 kgZoetemelk
990
68 kgvan der Poel
990
70 kg
1
74 kgDe Wilde
3
70 kgFignon
990
67 kgBauer
990
72 kgZoetemelk
990
68 kgvan der Poel
990
70 kg
Weight (KG) →
Result →
74
67
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDERAERDEN Eric | 74 |
| 3 | DE WILDE Etienne | 70 |
| 990 | FIGNON Laurent | 67 |
| 990 | BAUER Steve | 72 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN DER POEL Adrie | 70 |