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 + 78
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | GIRAUD Benjamin | 71 |
| 12 | MARKOV Alexei | 80 |
| 21 | SCHMIDT Fabien | 63 |
| 22 | LEBAS Thomas | 65 |
| 25 | COUSIN Jérôme | 74 |
| 33 | BALDO Nicolas | 73 |
| 57 | ROSSETTO Stéphane | 68 |
| 59 | BUTTERFIELD Tyler | 75 |
| 65 | POUX Paul | 70 |
| 68 | KRITSKIY Timofey | 81 |
| 70 | KUREK Adrian | 80 |
| 71 | GALIMZYANOV Denis | 75 |
| 76 | BARLE Florent | 72 |
| 84 | SOULA Guillaume | 68 |
| 88 | LAMOISSON Morgan | 69 |
| 91 | MATHEOU Romain | 73 |
| 96 | HARDY Romain | 62 |