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 = 1.3 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HARDY Romain | 62 |
| 7 | ROSSETTO Stéphane | 68 |
| 9 | LEBAS Thomas | 65 |
| 15 | KRITSKIY Timofey | 81 |
| 20 | SCHMIDT Fabien | 63 |
| 22 | KUREK Adrian | 80 |
| 23 | GIRAUD Benjamin | 71 |
| 26 | LAMOISSON Morgan | 69 |
| 44 | BALDO Nicolas | 73 |
| 49 | GALIMZYANOV Denis | 75 |
| 53 | MARKOV Alexei | 80 |
| 57 | POUX Paul | 70 |
| 62 | SOULA Guillaume | 68 |
| 77 | BUTTERFIELD Tyler | 75 |