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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWLESS Chris | 72 |
| 2 | AUER Daniel | 73 |
| 3 | VAN GOMPEL Mathias | 70 |
| 4 | BEULLENS Cedric | 79 |
| 5 | PICOUX Maximilien | 71 |
| 6 | KRIEGER Alexander | 71 |
| 7 | POWLESS Neilson | 67 |
| 8 | TAMINIAUX Lionel | 74 |
| 9 | MENTEN Milan | 68 |
| 10 | ZEPUNTKE Ruben | 76 |
| 11 | SCHLEMMER Lukas | 64 |
| 12 | DE POORTER Maxime | 68 |
| 13 | VERWILST Aaron | 68 |
| 14 | EEKHOFF Nils | 75 |
| 15 | TURGIS Tanguy | 61 |
| 16 | MÜLLER Patrick | 74 |