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 = -20.5 * weight + 1543
This means that on average for every extra kilogram weight a rider loses -20.5 positions in the result.
Argentin
1
66 kgFernández
2
68 kgMoser
5
79 kgVandi
6
64 kgMadiot
7
68 kgGavazzi
8
67 kgSaronni
990
65 kg
1
66 kgFernández
2
68 kgMoser
5
79 kgVandi
6
64 kgMadiot
7
68 kgGavazzi
8
67 kgSaronni
990
65 kg
Weight (KG) →
Result →
79
64
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARGENTIN Moreno | 66 |
| 2 | FERNÁNDEZ Juan | 68 |
| 5 | MOSER Francesco | 79 |
| 6 | VANDI Alfio | 64 |
| 7 | MADIOT Marc | 68 |
| 8 | GAVAZZI Pierino | 67 |
| 990 | SARONNI Giuseppe | 65 |