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 = 0.4 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Moser
1
79 kgVandi
8
64 kgGavazzi
18
67 kgvan Vliet
24
65 kgKelly
25
77 kgSchuiten
33
83 kg
1
79 kgVandi
8
64 kgGavazzi
18
67 kgvan Vliet
24
65 kgKelly
25
77 kgSchuiten
33
83 kg
Weight (KG) →
Result →
83
64
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 8 | VANDI Alfio | 64 |
| 18 | GAVAZZI Pierino | 67 |
| 24 | VAN VLIET Leo | 65 |
| 25 | KELLY Sean | 77 |
| 33 | SCHUITEN Roy | 83 |