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 = 2.9 * weight - 172
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE MAAR Marc | 70 |
| 4 | PAUWELS Serge | 65 |
| 7 | DEKKER Thomas | 69 |
| 20 | DEVENYNS Dries | 65 |
| 27 | REUS Kai | 70 |
| 33 | CALLEEUW Joeri | 71 |
| 34 | LEMOINE Cyril | 73 |
| 44 | DEHAES Kenny | 73 |
| 48 | CLEMENT Stef | 66 |
| 49 | DUIJN Huub | 73 |
| 50 | GOESINNEN Floris | 75 |