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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Seigneur
1
71 kgHeulot
2
69 kgvan Bon
3
72 kgSimon
4
70 kgHamburger
6
58 kgCasero
8
72 kg
1
71 kgHeulot
2
69 kgvan Bon
3
72 kgSimon
4
70 kgHamburger
6
58 kgCasero
8
72 kg
Weight (KG) →
Result →
72
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 2 | HEULOT Stéphane | 69 |
| 3 | VAN BON Léon | 72 |
| 4 | SIMON François | 70 |
| 6 | HAMBURGER Bo | 58 |
| 8 | CASERO Ángel Luis | 72 |