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 = 6.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 6.6 positions in the result.
De Vlaeminck
1
74 kgGavazzi
2
67 kgvan der Poel
3
70 kgArgentin
7
66 kgZoetemelk
990
68 kgvan Vliet
990
65 kgPrim
990
76 kg
1
74 kgGavazzi
2
67 kgvan der Poel
3
70 kgArgentin
7
66 kgZoetemelk
990
68 kgvan Vliet
990
65 kgPrim
990
76 kg
Weight (KG) →
Result →
76
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | GAVAZZI Pierino | 67 |
| 3 | VAN DER POEL Adrie | 70 |
| 7 | ARGENTIN Moreno | 66 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | PRIM Tommy | 76 |