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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE PLUS Jasper | 69 |
| 2 | NORSGAARD Mathias | 88 |
| 3 | DAVY Clément | 73 |
| 4 | O'LOUGHLIN Michael | 72 |
| 5 | ILIĆ Ognjen | 86 |
| 6 | VERGER Simon | 58 |
| 8 | GUERNALEC Thibault | 71 |
| 9 | WOOD Harrison | 64 |
| 11 | DELPHIS Thomas | 70 |
| 12 | BEZZA Quentin | 76 |
| 13 | GRONDIN Donavan | 77 |
| 14 | GRESSIER Maxime | 67 |
| 20 | PLUSQUELLEC Yann | 66 |