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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRANK Mathias | 64 |
| 2 | PINOTTI Marco | 67 |
| 3 | SCHUMACHER Stefan | 71 |
| 4 | AXELSSON Niklas | 73 |
| 5 | ZAUGG Oliver | 58 |
| 6 | STALDER Florian | 58 |
| 9 | FRÖHLINGER Johannes | 62 |
| 10 | RUSS Matthias | 62 |
| 12 | KRAUß Sven | 81 |
| 14 | WEISSINGER René | 74 |
| 20 | RUIJGH Rob | 64 |