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 + 17
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROß Felix | 71 |
| 2 | MÄRKL Niklas | 70 |
| 5 | RUDOLPH Poul | 64 |
| 7 | EINHAUS Frederik | 72 |
| 10 | KÄßMANN Fabian | 65 |
| 13 | RUTSCH Jonas | 82 |
| 17 | PAKALSKI Henrik | 74 |
| 18 | RUDYS Paul | 60 |
| 21 | BANUSCH Richard | 78 |
| 23 | HEINSCHKE Leon | 70 |
| 24 | BRANDT Nicolas | 72 |
| 26 | HOLLMANN Juri | 70 |
| 28 | MANGERTSEDER Matthias | 69 |
| 41 | TAEBLING Paul | 77 |
| 45 | LIPPMANN Axel | 75 |
| 49 | ADAMIETZ Johannes | 61 |