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 = -0.7 * weight + 88
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GIRAUD Benjamin | 71 |
| 6 | MARKOV Alexei | 80 |
| 7 | KRITSKIY Timofey | 81 |
| 9 | HARDY Romain | 62 |
| 29 | KUREK Adrian | 80 |
| 38 | SCHMIDT Fabien | 63 |
| 41 | LEBAS Thomas | 65 |
| 43 | BALDO Nicolas | 73 |
| 45 | LAMOISSON Morgan | 69 |
| 47 | GALIMZYANOV Denis | 75 |
| 51 | ROSSETTO Stéphane | 68 |
| 56 | POUX Paul | 70 |
| 58 | SOULA Guillaume | 68 |
| 76 | BUTTERFIELD Tyler | 75 |