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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOCCARATO Samuele | 74 |
| 2 | ZAHÁLKA Matěj | 73 |
| 3 | HESSMANN Michel | 78 |
| 4 | LIPOWITZ Florian | 68 |
| 6 | ZOIDL Riccardo | 63 |
| 7 | FREDHEIM Stian | 72 |
| 10 | KLUCKERS Arthur | 71 |
| 11 | ZWIEHOFF Ben | 61 |
| 12 | TAARAMÄE Rein | 68 |
| 13 | KUKRLE Michael | 73 |
| 14 | APERS Ruben | 70 |
| 15 | ŤOUPALÍK Adam | 65 |
| 16 | PALZER Anton | 62 |
| 17 | BAIS Mattia | 66 |
| 18 | TUREK Daniel | 72 |
| 19 | BONIFAZIO Niccolò | 72 |