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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | ANIOŁKOWSKI Stanisław | 68 |
| 3 | SMIT Willie | 72 |
| 4 | SALBY Alexander | 68 |
| 5 | DE SCHUYTENEER Steffen | 74 |
| 6 | MENTEN Milan | 68 |
| 7 | LAAS Martin | 76 |
| 9 | GATE Aaron | 71 |
| 10 | VIVIANI Attilio | 69 |
| 12 | GONOV Lev | 76 |
| 13 | FORTIN Filippo | 78 |
| 14 | QUICK Blake | 77 |
| 15 | RIKUNOV Petr | 71 |
| 19 | RASCH Jesper | 71 |
| 20 | MONK Cyrus | 67 |
| 21 | HAMDAN Wan Abdul Rahman | 66 |
| 22 | DEKKER David | 80 |