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 + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANCELLARA Fabian | 80 |
| 2 | ROELANDTS Jürgen | 78 |
| 3 | SAGAN Peter | 78 |
| 4 | RICHEZE Maximiliano | 68 |
| 5 | WYSS Marcel | 63 |
| 6 | DURBRIDGE Luke | 78 |
| 7 | MATTHEWS Michael | 72 |
| 8 | ELMIGER Martin | 73 |
| 9 | CORT Magnus | 68 |
| 10 | TOLHOEK Antwan | 61 |
| 11 | IZAGIRRE Ion | 60 |
| 12 | MINARD Sébastien | 65 |
| 13 | DEVOLDER Stijn | 72 |