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 = 0.8 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HARDY Romain | 62 |
| 9 | ROSSETTO Stéphane | 68 |
| 13 | LEBAS Thomas | 65 |
| 19 | KUREK Adrian | 80 |
| 23 | BALDO Nicolas | 73 |
| 32 | GALIMZYANOV Denis | 75 |
| 36 | BUTTERFIELD Tyler | 75 |
| 41 | LAMOISSON Morgan | 69 |
| 45 | MARKOV Alexei | 80 |
| 48 | BARLE Florent | 72 |
| 52 | SCHMIDT Fabien | 63 |
| 53 | POUX Paul | 70 |
| 55 | GIRAUD Benjamin | 71 |
| 59 | KRITSKIY Timofey | 81 |
| 63 | SOULA Guillaume | 68 |