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 = -0.7 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEHRENS Niklas | 80 |
| 3 | BORRESCH Julian | 79 |
| 4 | THEILER Ole | 75 |
| 5 | DUCKERT Roman | 68 |
| 7 | MÜLLER Tobias | 64 |
| 9 | JOHN Vincent | 65 |
| 15 | LÜHRS Luis-Joe | 66 |
| 17 | GROß Matteo | 67 |
| 18 | CZASA Moritz | 70 |
| 22 | APPELBAUM Henri Johannes | 64 |
| 23 | GRIXA Jarno | 62 |
| 27 | BALÁZS Máté | 62 |
| 28 | KÄRSTEN Moritz | 75 |
| 30 | TEMMEN Jan-Marc | 66 |
| 31 | JOCHUM Ben Felix | 76 |
| 32 | BOCK Max | 53 |