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 = 0.9 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Argentin
1
66 kgGavazzi
4
67 kgZoetemelk
11
68 kgPrim
14
76 kgvan Vliet
15
65 kgDe Vlaeminck
19
74 kg
1
66 kgGavazzi
4
67 kgZoetemelk
11
68 kgPrim
14
76 kgvan Vliet
15
65 kgDe Vlaeminck
19
74 kg
Weight (KG) →
Result →
76
65
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 4 | GAVAZZI Pierino | 67 |
| 11 | ZOETEMELK Joop | 68 |
| 14 | PRIM Tommy | 76 |
| 15 | VAN VLIET Leo | 65 |
| 19 | DE VLAEMINCK Roger | 74 |