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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Stefano | 80 |
| 2 | VAN IMPE Kevin | 75 |
| 3 | BORRAJO Alejandro Alberto | 76 |
| 4 | DEAN Julian | 72 |
| 5 | BOONEN Tom | 82 |
| 6 | HAMMOND Roger | 71 |
| 10 | DAY Benjamin | 68 |
| 11 | DOWNING Russell | 64 |
| 13 | ADAMSSON Stefan | 68 |
| 14 | POWER Ciarán | 68 |
| 15 | MORENO Daniel | 59 |