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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIMMERMANN Robert | 72 |
| 3 | DIDIER Christophe | 71 |
| 4 | EGLI Paul | 72 |
| 8 | SIMONINI Settimo | 66 |
| 10 | AMBERG Leo | 72 |
| 11 | MOLLO Enrico | 62 |
| 18 | LEVEL Léon | 64 |
| 21 | JAISLI Werner | 60 |
| 22 | DE CALUWÉ Edgard | 75 |
| 23 | WEBER Gottlieb | 75 |
| 28 | OBERBECK Willi | 80 |
| 29 | KNUTTI Albert | 71 |
| 31 | STETTLER Kurt | 81 |
| 34 | HEIDE Karl | 75 |
| 38 | MERSCH Arsène | 73 |
| 39 | HARTMANN Fritz | 68 |