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 = -0.9 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | SICARD Romain | 63 |
| 20 | NAULEAU Bryan | 67 |
| 22 | HALLEGUEN Mathieu | 67 |
| 26 | KREDER Raymond | 70 |
| 31 | KING Ben | 68 |
| 33 | DELAPLACE Anthony | 65 |
| 39 | FONSECA Armindo | 56 |
| 43 | REZA Kévin | 71 |
| 46 | COURTEILLE Arnaud | 62 |
| 53 | SILVA Bruno | 59 |
| 75 | BERTRAND Jonathan | 65 |
| 88 | MINNAARD Marco | 65 |