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 = 1.8 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONDORY Lloyd | 66 |
| 5 | VAUGRENARD Benoît | 72 |
| 8 | KOHL Bernhard | 61 |
| 10 | MAMOS Philipp | 72 |
| 20 | SCHILLINGER Andreas | 72 |
| 23 | BURGHARDT Marcus | 75 |
| 26 | HEIJBOER Mathieu | 78 |
| 33 | WAGNER Robert | 75 |
| 41 | GREIPEL André | 80 |
| 60 | SIEBERG Marcel | 80 |
| 67 | MARTENS Paul | 69 |