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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | THOMPSON Reuben | 66 |
| 3 | FAURE PROST Alexy | 67 |
| 5 | PICCOLO Andrea | 64 |
| 7 | JUILLARD Maximilien | 60 |
| 8 | LÓPEZ Harold Martín | 55 |
| 9 | TOUMIRE Hugo | 69 |
| 10 | WENZEL Mats | 68 |
| 11 | PALENI Enzo | 65 |
| 13 | BRUN Nils | 64 |
| 15 | UHLIG Henri | 71 |
| 18 | MÜLLER Tobias | 64 |
| 19 | VINOKUROV Alexandre | 66 |
| 21 | BRUSSENSKIY Gleb | 64 |
| 22 | AGUILERA Nil | 62 |