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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÄR Michael | 66 |
| 2 | EIJSSEN Yannick | 60 |
| 5 | KUMP Marko | 68 |
| 6 | JARC Blaž | 87 |
| 8 | MARGOT Arnaud | 65 |
| 9 | ADAMS Joeri | 63 |
| 15 | MATZKA Ralf | 69 |
| 16 | POLNICKÝ Jiří | 68 |
| 19 | ČANECKÝ Marek | 72 |
| 25 | THURAU Björn | 73 |
| 26 | SALOMEIN Jarl | 80 |
| 37 | SAGGIORATO Mirco | 58 |
| 45 | FUMEAUX Jonathan | 61 |
| 48 | MAJKA Rafał | 62 |
| 56 | STĘPNIAK Grzegorz | 75 |
| 65 | LITSCHER Thomas | 74 |