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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JAKSCHE Jörg | 69 |
| 4 | SALERNO Cristiano | 64 |
| 5 | VANHEULE Bart | 76 |
| 6 | ROGINA Radoslav | 70 |
| 7 | MARIN Matej | 67 |
| 8 | PRIAMO Matteo | 72 |
| 10 | GILBERT Philippe | 75 |
| 12 | CLEMENT Stef | 66 |
| 13 | TURPIN Ludovic | 57 |
| 15 | PAUWELS Serge | 65 |
| 16 | SIJMENS Nico | 69 |
| 17 | FLICKINGER Andy | 78 |
| 18 | MAASKANT Martijn | 76 |