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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNATI Daniele | 71 |
| 2 | WÜRTZ SCHMIDT Mads | 70 |
| 3 | HOFLAND Moreno | 71 |
| 4 | BAŠKA Erik | 74 |
| 5 | GUARDINI Andrea | 66 |
| 6 | VALGREN Michael | 71 |
| 7 | SELIG Rüdiger | 80 |
| 8 | JANS Roy | 68 |
| 9 | GOGL Michael | 71 |
| 10 | TEUNISSEN Mike | 73 |
| 11 | CAPIOT Amaury | 69 |
| 12 | CORT Magnus | 68 |
| 14 | RUFFONI Nicola | 70 |
| 15 | VAN ASBROECK Tom | 72 |
| 16 | AAEN JØRGENSEN Jonas | 63 |