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 = -0.5 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERNAS Paweł | 77 |
| 4 | BRAMMEIER Matt | 72 |
| 6 | GRADEK Kamil | 83 |
| 10 | SHPILEVSKY Boris | 78 |
| 11 | BENFATTO Marco | 71 |
| 14 | GALEYEV Vadim | 68 |
| 15 | CLARKE Will | 81 |
| 16 | SCHNAIDT Fabian | 70 |
| 18 | HOLLER Nikodemus | 58 |
| 20 | SIMÓN Jordi | 64 |
| 25 | WANG Meiyin | 70 |
| 27 | BIZHIGITOV Zhandos | 76 |
| 29 | ANDERSON Jack | 68 |
| 31 | JANORSCHKE Grischa | 78 |
| 32 | EIBEGGER Markus | 68 |
| 33 | BUTS Vitaliy | 68 |