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 + 6
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOULO Matthieu | 62 |
| 10 | KREDER Raymond | 70 |
| 14 | FONSECA Armindo | 56 |
| 15 | DAMUSEAU Thomas | 64 |
| 16 | ANTUNES Amaro | 58 |
| 19 | ASSELMAN Jesper | 69 |
| 20 | JARRIER Benoît | 69 |
| 26 | DOMONT Axel | 65 |
| 30 | BRANDÃO Joni | 64 |
| 34 | LAMBERT-LEMAY Simon | 81 |
| 52 | KING Ben | 68 |
| 54 | KREDER Wesley | 71 |
| 77 | PETIT Adrien | 80 |
| 80 | TSATEVICH Alexey | 64 |
| 96 | AFONSO Luis | 56 |