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 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SAGAN Juraj | 65 |
| 7 | THURAU Björn | 73 |
| 10 | GASTAUER Ben | 73 |
| 16 | SAGGIORATO Mirco | 58 |
| 17 | BÄR Michael | 66 |
| 24 | ADAMS Joeri | 63 |
| 33 | STĘPNIAK Grzegorz | 75 |
| 35 | LITSCHER Thomas | 74 |
| 37 | MAJKA Rafał | 62 |
| 41 | KUMP Marko | 68 |
| 47 | EIJSSEN Yannick | 60 |
| 49 | CAMBIANICA Enea | 64 |
| 51 | MARGOT Arnaud | 65 |
| 57 | SALOMEIN Jarl | 80 |
| 59 | FUMEAUX Jonathan | 61 |
| 64 | POLNICKÝ Jiří | 68 |