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 = -1.4 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HERZOG Emil | 74 |
| 7 | GROß Matteo | 67 |
| 8 | BENGELSDORF Lui | 76 |
| 10 | BANGERT Nick | 66 |
| 11 | SCHEITINGER Linus | 77 |
| 15 | APPELBAUM Henri Johannes | 64 |
| 16 | LEU Richard | 80 |
| 22 | BOCK Max | 56 |
| 25 | JOHN Vincent | 65 |
| 37 | RICHTER Moritz | 63 |
| 58 | EHRET Nicolas | 67 |
| 65 | BRENNER Mauro | 57 |