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 - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZBERG Markus | 69 |
| 2 | ELMIGER Martin | 73 |
| 3 | FRANK Mathias | 64 |
| 4 | BERTOGLIATI Rubens | 73 |
| 5 | ACKERMANN Silvère | 62 |
| 7 | MOOS Alexandre | 64 |
| 8 | LOOSLI David | 71 |
| 11 | SCHÄR Michael | 78 |
| 12 | DIETZIKER Andreas | 67 |
| 14 | WYSS Danilo | 65 |
| 17 | ZAHNER Simon | 73 |
| 19 | FRISCHKNECHT Thomas | 69 |
| 20 | LANG Pirmin | 73 |
| 21 | HOLLENSTEIN Reto | 80 |
| 27 | FREI Thomas | 71 |