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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOELGAARD Markus | 74 |
| 2 | SKJERPING Kristoffer | 71 |
| 3 | EIBEGGER Markus | 68 |
| 4 | WILLIAMS Stephen | 59 |
| 5 | MORTIER Julien | 66 |
| 8 | DALLA VALLE Nicolas | 73 |
| 10 | LOUBET Julien | 66 |
| 12 | HALLER Patrick | 68 |
| 13 | ISTA Kevyn | 70 |
| 14 | GAROSIO Andrea | 58 |
| 16 | WEINSTEIN Domenic | 80 |