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 = 1 * weight + 214
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Argentin
2
66 kgGavazzi
3
67 kgCaroli
5
77 kgDe Vlaeminck
7
74 kgZoetemelk
9
68 kgvan Vliet
990
65 kgPrim
990
76 kg
2
66 kgGavazzi
3
67 kgCaroli
5
77 kgDe Vlaeminck
7
74 kgZoetemelk
9
68 kgvan Vliet
990
65 kgPrim
990
76 kg
Weight (KG) →
Result →
77
65
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARGENTIN Moreno | 66 |
| 3 | GAVAZZI Pierino | 67 |
| 5 | CAROLI Daniele | 77 |
| 7 | DE VLAEMINCK Roger | 74 |
| 9 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | PRIM Tommy | 76 |