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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONSERGENT Stéphane | 66 |
| 2 | DELPECH Jean-Luc | 72 |
| 4 | DURET Sébastien | 62 |
| 6 | THOMSON Jay Robert | 75 |
| 8 | VANLANDSCHOOT James | 67 |
| 10 | BELGASEM Ahmed Youssef | 68 |
| 13 | MARTIAS Rony | 71 |
| 14 | ROUX Anthony | 73 |
| 16 | CLAUDE Mathieu | 69 |
| 17 | JÉGOU Lilian | 71 |