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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLIVEIRA Ivo | 68 |
| 2 | ZINGLE Axel | 67 |
| 3 | COSNEFROY Benoît | 65 |
| 4 | NORSGAARD Mathias | 88 |
| 5 | ZIJLAARD Maikel | 73 |
| 6 | DÉMARE Arnaud | 76 |
| 7 | GERMANI Lorenzo | 62 |
| 8 | BOHLI Tom | 71 |
| 9 | COSTIOU Ewen | 64 |
| 10 | VAN GESTEL Dries | 74 |
| 12 | GAUTHERAT Pierre | 70 |
| 13 | VENTURINI Clément | 60 |
| 14 | RAUGEL Antoine | 70 |
| 15 | MENTEN Milan | 68 |