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 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kuiper
2
69 kgKnudsen
6
79 kgLadrón
13
74 kgViejo
17
64 kgGavazzi
23
67 kgvan den Hoek
27
77 kgMartinelli
28
74 kg
2
69 kgKnudsen
6
79 kgLadrón
13
74 kgViejo
17
64 kgGavazzi
23
67 kgvan den Hoek
27
77 kgMartinelli
28
74 kg
Weight (KG) →
Result →
79
64
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUIPER Hennie | 69 |
| 6 | KNUDSEN Knut | 79 |
| 13 | LADRÓN Rafael | 74 |
| 17 | VIEJO José Luis | 64 |
| 23 | GAVAZZI Pierino | 67 |
| 27 | VAN DEN HOEK Aad | 77 |
| 28 | MARTINELLI Giuseppe | 74 |