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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EGLI Paul | 72 |
| 5 | AMBERG Leo | 72 |
| 8 | RINALDI Gaspard | 71 |
| 9 | MOLLO Enrico | 62 |
| 10 | HARTMANN Fritz | 68 |
| 12 | ZIMMERMANN Robert | 72 |
| 14 | ERNE August | 70 |
| 15 | STETTLER Kurt | 81 |
| 16 | BLATTMANN Walter | 68 |
| 18 | LESUEUR Raoul | 74 |
| 19 | BONDUEL Frans | 74 |
| 22 | KIJEWSKI Emil | 75 |
| 23 | MARTIN Hans | 69 |
| 29 | NEUENS François | 76 |