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 = 0.3 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | IGLINSKIY Maxim | 67 |
| 5 | WEYLANDT Wouter | 72 |
| 7 | HABEAUX Grégory | 68 |
| 8 | DEHAES Kenny | 73 |
| 9 | NYS Sven | 73 |
| 13 | BAZAYEV Assan | 62 |
| 18 | GROSDENT William | 74 |
| 24 | VANDENBERGH Stijn | 86 |
| 28 | DE GROOTE Thierry | 71 |
| 34 | MURPHY John | 81 |
| 45 | HEGREBERG Morten | 72 |
| 47 | DE KORT Koen | 69 |
| 50 | STUBBE Tom | 66 |
| 57 | CALLEEUW Joeri | 71 |
| 83 | YATES Jeremy | 73 |