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 = 2.7 * weight + 516
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
De Wilde
2
70 kgDemierre
4
70 kgvan Vliet
990
65 kgKelly
990
77 kgGlaus
990
67 kgZoetemelk
990
68 kgRoche
990
74 kg
2
70 kgDemierre
4
70 kgvan Vliet
990
65 kgKelly
990
77 kgGlaus
990
67 kgZoetemelk
990
68 kgRoche
990
74 kg
Weight (KG) →
Result →
77
65
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WILDE Etienne | 70 |
| 4 | DEMIERRE Serge | 70 |
| 990 | VAN VLIET Leo | 65 |
| 990 | KELLY Sean | 77 |
| 990 | GLAUS Gilbert | 67 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | ROCHE Stephen | 74 |