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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIEBERG Marcel | 80 |
| 3 | SCHILLINGER Andreas | 72 |
| 7 | BURGHARDT Marcus | 75 |
| 9 | WAGNER Robert | 75 |
| 10 | VAUGRENARD Benoît | 72 |
| 11 | HEIJBOER Mathieu | 78 |
| 12 | MONDORY Lloyd | 66 |
| 23 | KOHL Bernhard | 61 |
| 26 | GREIPEL André | 80 |
| 27 | MAASKANT Martijn | 76 |
| 31 | MARTENS Paul | 69 |
| 59 | MAMOS Philipp | 72 |