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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KRUOPIS Aidis | 80 |
| 6 | MATYSIAK Bartłomiej | 71 |
| 8 | KLUGE Roger | 83 |
| 9 | BALČIŪNAS Linas | 90 |
| 10 | SAPA Marcin | 82 |
| 11 | SELIG Rüdiger | 80 |
| 14 | KIENDYŚ Tomasz | 78 |
| 18 | JANISZEWSKI Sylwester | 65 |
| 20 | TYBOR Patrik | 72 |
| 22 | BAGDONAS Gediminas | 78 |
| 24 | BOMMEL Henning | 75 |
| 25 | JUODVALKIS Egidijus | 73 |
| 28 | BRÄNDLE Matthias | 80 |
| 32 | MAHĎAR Martin | 61 |
| 33 | POLLACK Olaf | 77 |