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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUN Frederic | 73 |
| 4 | VISCONTI Giovanni | 63 |
| 5 | LAVIEU Antoine | 60 |
| 7 | RIBLON Christophe | 65 |
| 8 | PLAZA Rubén | 77 |
| 9 | ROSSETTO Stéphane | 68 |
| 10 | LAMMERTINK Maurits | 61 |
| 11 | STEELS Stijn | 78 |
| 13 | ŠIŠKEVIČIUS Evaldas | 80 |
| 14 | LIGTHART Pim | 72 |
| 16 | DUPONT Hubert | 57 |
| 17 | LABORIE Christophe | 67 |
| 18 | RUIJGH Rob | 64 |
| 19 | HERRADA Jesús | 70 |