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 + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | ZAHNER Simon | 73 |
| 4 | KLUGE Roger | 83 |
| 5 | GASTAUER Ben | 73 |
| 8 | KUSZTOR Péter | 61 |
| 9 | DRUCKER Jempy | 75 |
| 11 | PHINNEY Taylor | 82 |
| 12 | MEEUSEN Tom | 62 |
| 14 | STAUFF Andreas | 82 |
| 18 | JANORSCHKE Grischa | 78 |
| 19 | PAUWELS Kevin | 60 |
| 22 | SELANDER Bjorn | 72 |
| 25 | LIGTHART Pim | 72 |
| 26 | LANG Pirmin | 73 |
| 27 | SINKELDAM Ramon | 77 |
| 28 | ŠTYBAR Zdeněk | 68 |
| 30 | TOMBAK Janek | 71 |