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 = 15.1 * weight - 635
This means that on average for every extra kilogram weight a rider loses 15.1 positions in the result.
van Vliet
1
65 kgDe Wilde
2
70 kgKelly
3
77 kgGlaus
5
67 kgDemierre
990
70 kgZoetemelk
990
68 kgRoche
990
74 kg
1
65 kgDe Wilde
2
70 kgKelly
3
77 kgGlaus
5
67 kgDemierre
990
70 kgZoetemelk
990
68 kgRoche
990
74 kg
Weight (KG) →
Result →
77
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN VLIET Leo | 65 |
| 2 | DE WILDE Etienne | 70 |
| 3 | KELLY Sean | 77 |
| 5 | GLAUS Gilbert | 67 |
| 990 | DEMIERRE Serge | 70 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | ROCHE Stephen | 74 |