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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EISEL Bernhard | 74 |
| 2 | DEGANO Enrico | 68 |
| 3 | RODRIGUEZ Fred | 68 |
| 4 | MARKOV Alexei | 80 |
| 5 | BARBOSA Cândido | 72 |
| 6 | PLAZA Rubén | 77 |
| 7 | GÉRARD Arnaud | 70 |
| 8 | GARRIDO Martin Gerardo | 70 |
| 10 | CASAR Sandy | 63 |
| 11 | PINEAU Jérôme | 65 |
| 16 | AUGER Ludovic | 78 |
| 17 | RENSHAW Mark | 74 |
| 19 | ADAMSSON Stefan | 68 |
| 22 | PETROV Danail Andonov | 63 |
| 23 | HARY Maryan | 68 |