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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Belletti
1
72 kgBole
2
69 kgKragh Andersen
4
72 kgSwift
5
69 kgÁvila
6
61 kgGavazzi
7
65 kgViganò
8
67 kg
1
72 kgBole
2
69 kgKragh Andersen
4
72 kgSwift
5
69 kgÁvila
6
61 kgGavazzi
7
65 kgViganò
8
67 kg
Weight (KG) →
Result →
72
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLETTI Manuel | 72 |
| 2 | BOLE Grega | 69 |
| 4 | KRAGH ANDERSEN Asbjørn | 72 |
| 5 | SWIFT Ben | 69 |
| 6 | ÁVILA Edwin | 61 |
| 7 | GAVAZZI Francesco | 65 |
| 8 | VIGANÒ Davide | 67 |