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 | MÉDEREL Maxime | 59 |
| 3 | BONNAIRE Olivier | 67 |
| 4 | NYS Sven | 73 |
| 9 | KOZONTCHUK Dmitry | 75 |
| 10 | LE MÉVEL Christophe | 61 |
| 11 | FRISCHKORN William | 68 |
| 12 | HERVÉ Cédric | 60 |
| 13 | GUESDON Frédéric | 73 |
| 14 | HABEAUX Grégory | 68 |
| 15 | HARY Maryan | 68 |