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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 3 | VASTARANTA Jukka | 63 |
| 4 | BOOM Lars | 75 |
| 5 | REUS Kai | 70 |
| 6 | VANHEULE Bart | 76 |
| 7 | KAISEN Olivier | 82 |
| 8 | CLEMENT Stef | 66 |
| 11 | FRANZOI Enrico | 70 |
| 12 | DUIJN Huub | 73 |
| 15 | ELIJZEN Michiel | 80 |
| 16 | PAUWELS Serge | 65 |
| 18 | DRANCOURT Pierre | 68 |
| 19 | ISTA Kevyn | 70 |