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 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIEBERG Marcel | 80 |
| 4 | BURGHARDT Marcus | 75 |
| 5 | MONDORY Lloyd | 66 |
| 8 | WAGNER Robert | 75 |
| 9 | KOHL Bernhard | 61 |
| 12 | GREIPEL André | 80 |
| 30 | VAUGRENARD Benoît | 72 |
| 32 | HEIJBOER Mathieu | 78 |
| 33 | MAMOS Philipp | 72 |
| 38 | SCHILLINGER Andreas | 72 |
| 54 | MARTENS Paul | 69 |
| 57 | MAASKANT Martijn | 76 |