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 = -0.9 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAPELLE Ludovic | 75 |
| 3 | AUGER Ludovic | 78 |
| 4 | HINAULT Sébastien | 63 |
| 5 | RENIER Franck | 69 |
| 7 | MAINGUENAUD Frédéric | 68 |
| 9 | NAZON Jean-Patrick | 74 |
| 10 | TOMBAK Janek | 71 |
| 14 | LANGELLA Anthony | 76 |
| 15 | MONCASSIN Frédéric | 73 |
| 16 | BERGÈS Stéphane | 68 |
| 17 | POILVET Benoît | 71 |
| 18 | TESSIER Jean-Michel | 70 |
| 20 | PRADERA Mikel | 66 |
| 27 | HORNER Chris | 70 |
| 29 | SAUGRAIN Cyril | 62 |
| 30 | NAZON Damien | 68 |