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 = -1.2 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEQUATRE Geoffroy | 64 |
| 3 | KOSTYUK Denys | 66 |
| 4 | VENTOSO Francisco José | 75 |
| 5 | DEL NERO Jesús | 73 |
| 7 | CORIONI Claudio | 67 |
| 8 | GUSEV Vladimir | 67 |
| 9 | KEMPS Aaron | 73 |
| 10 | LAGUTIN Sergey | 68 |
| 36 | SELLA Emanuele | 54 |