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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | HOWARD Leigh | 72 |
| 3 | RUFFONI Nicola | 70 |
| 4 | BOUHANNI Nacer | 65 |
| 5 | BOONEN Tom | 82 |
| 6 | VAN STAEYEN Michael | 62 |
| 7 | VAN HECKE Preben | 69 |
| 8 | MARKUS Barry | 75 |
| 9 | TERPSTRA Niki | 75 |
| 10 | BOEM Nicola | 75 |
| 11 | CHAINEL Steve | 69 |
| 12 | KRISTOFF Alexander | 78 |
| 13 | DEVOLDER Stijn | 72 |
| 14 | BAZZANA Alessandro | 63.5 |
| 15 | BOŽIČ Borut | 70 |