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 = -1.7 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOOS Marc | 65 |
| 2 | KITTEL Marcel | 82 |
| 3 | GMELICH MEIJLING Jarno | 77 |
| 7 | KOEP Thomas | 78 |
| 13 | THURAU Björn | 73 |
| 17 | THILL Tom | 73 |
| 22 | MEIJERS Daan | 70 |
| 28 | ARIESEN Johim | 70 |
| 31 | ZANGERLE Joel | 63 |
| 47 | KRIEGER Alexander | 71 |
| 49 | AKDILEK Ahmet | 68 |
| 52 | SCHNAIDT Fabian | 70 |