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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RIBLON Christophe | 65 |
| 3 | LIGTHART Pim | 72 |
| 5 | BRUN Frederic | 73 |
| 6 | MARTINEZ Yannick | 69 |
| 7 | VISCONTI Giovanni | 63 |
| 8 | HERRADA Jesús | 70 |
| 9 | ARASHIRO Yukiya | 64 |
| 10 | ROSSETTO Stéphane | 68 |
| 11 | LAGUTIN Sergey | 68 |
| 12 | LADAGNOUS Matthieu | 73 |
| 13 | LEMARCHAND Romain | 67 |
| 14 | PLAZA Rubén | 77 |
| 16 | KREDER Wesley | 71 |
| 17 | DUPONT Hubert | 57 |