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 = 3.2 * weight - 166
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | COURTEILLE Arnaud | 62 |
| 13 | DELAPLACE Anthony | 65 |
| 17 | BERTRAND Jonathan | 65 |
| 19 | SILVA Bruno | 59 |
| 21 | KREDER Raymond | 70 |
| 22 | HALLEGUEN Mathieu | 67 |
| 33 | FONSECA Armindo | 56 |
| 38 | MINNAARD Marco | 65 |
| 40 | NAULEAU Bryan | 67 |
| 65 | SICARD Romain | 63 |
| 101 | REZA Kévin | 71 |
| 106 | KING Ben | 68 |