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 = -1.4 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GMELICH MEIJLING Jarno | 77 |
| 3 | KITTEL Marcel | 82 |
| 5 | GOOS Marc | 65 |
| 6 | THILL Tom | 73 |
| 8 | KOEP Thomas | 78 |
| 9 | MATZKA Ralf | 69 |
| 14 | MEIJERS Daan | 70 |
| 27 | ZANGERLE Joel | 63 |
| 33 | ARIESEN Johim | 70 |
| 46 | KRIEGER Alexander | 71 |
| 51 | THURAU Björn | 73 |
| 54 | AKDILEK Ahmet | 68 |
| 57 | SCHNAIDT Fabian | 70 |