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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEURISSE Xandro | 71 |
| 3 | DELFOSSE Sébastien | 73 |
| 4 | LOUBET Julien | 66 |
| 6 | MAISON Jérémy | 61 |
| 8 | ANTOMARCHI Julien | 70 |
| 9 | GUERIN Alexis | 64 |
| 11 | KONOVALOVAS Ignatas | 74 |
| 14 | PAILLOT Yoann | 72 |
| 15 | GOLČER Jure | 66.5 |
| 16 | SELLIER Simon | 68 |
| 17 | ŠIŠKEVIČIUS Paulius | 70 |