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 = -0.3 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TSATEVICH Alexey | 64 |
| 4 | DAMUSEAU Thomas | 64 |
| 6 | KING Ben | 68 |
| 7 | BOULO Matthieu | 62 |
| 11 | LAMBERT-LEMAY Simon | 81 |
| 12 | KREDER Raymond | 70 |
| 18 | ANTUNES Amaro | 58 |
| 23 | AFONSO Luis | 56 |
| 29 | DOMONT Axel | 65 |
| 37 | BRANDÃO Joni | 64 |
| 38 | JARRIER Benoît | 69 |
| 43 | KREDER Wesley | 71 |
| 48 | ASSELMAN Jesper | 69 |
| 61 | PETIT Adrien | 80 |
| 107 | FONSECA Armindo | 56 |