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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLEMS Frederik | 67 |
| 2 | KASHECHKIN Andrey | 70 |
| 8 | AMORISON Frédéric | 70 |
| 10 | SIJMENS Nico | 69 |
| 16 | BOUCHER David | 78 |
| 17 | VANLANDSCHOOT James | 67 |
| 18 | STEEGMANS Gert | 82 |
| 21 | DE SCHROODER Benny | 61 |
| 22 | LISABETH Kenny | 75 |
| 24 | SENTJENS Roy | 75 |
| 25 | CAETHOVEN Steven | 67 |