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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIENHARD Fabian | 73 |
| 2 | BOL Cees | 83 |
| 3 | VAN DALEN Jason | 70 |
| 4 | HABTOM Awet | 65 |
| 7 | MOSCHETTI Matteo | 73 |
| 8 | GIBSON Matthew | 76 |
| 10 | KRIEGER Alexander | 71 |
| 11 | ASGREEN Kasper | 75 |
| 13 | FOLSACH Casper | 81 |
| 15 | HORTON Tobyn | 70 |
| 18 | LEMOINE Gaëtan | 62 |
| 19 | MEEUS Jordi | 80 |