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 = 21.9 * weight - 829
This means that on average for every extra kilogram weight a rider loses 21.9 positions in the result.
Demierre
3
70 kgZoetemelk
4
68 kgvan Vliet
990
65 kgKelly
990
77 kgGlaus
990
67 kgDe Wilde
990
70 kgRoche
990
74 kg
3
70 kgZoetemelk
4
68 kgvan Vliet
990
65 kgKelly
990
77 kgGlaus
990
67 kgDe Wilde
990
70 kgRoche
990
74 kg
Weight (KG) →
Result →
77
65
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DEMIERRE Serge | 70 |
| 4 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | KELLY Sean | 77 |
| 990 | GLAUS Gilbert | 67 |
| 990 | DE WILDE Etienne | 70 |
| 990 | ROCHE Stephen | 74 |