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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERVÉ Cédric | 60 |
| 2 | CHARTEAU Anthony | 67 |
| 3 | DUMOULIN Samuel | 57 |
| 4 | MÉDEREL Maxime | 59 |
| 5 | RIBLON Christophe | 65 |
| 6 | LADAGNOUS Matthieu | 73 |
| 7 | COENEN Johan | 67 |
| 8 | BUFFAZ Mickaël | 64 |
| 10 | LJUNGBLAD Jonas | 70 |
| 13 | AGNOLUTTO Christophe | 69 |
| 14 | INAUDI Nicolas | 67 |
| 17 | DURET Sébastien | 62 |
| 18 | MARCZYŃSKI Tomasz | 70 |
| 19 | VORGANOV Eduard | 65 |
| 20 | SHIMIZU Miyataka | 60 |
| 45 | SIMON Julien | 65 |