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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MORTENSEN Martin | 70 |
| 3 | KVIST Thomas Vedel | 68 |
| 4 | REIHS Michael | 75 |
| 9 | CURVERS Roy | 73 |
| 13 | MCCARTY Jonathan Patrick | 68 |
| 14 | JØRGENSEN René | 60 |
| 15 | VAN HUMMEL Kenny | 64 |
| 17 | RENDERS Sven | 63 |
| 19 | GATTO Oscar | 67 |
| 20 | VANHEULE Bart | 76 |
| 21 | NEYENS Maarten | 74 |
| 22 | KLOSTERGAARD Kasper | 69 |