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 = -1.3 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WOLF Fons | 75 |
| 5 | KELLY Sean | 77 |
| 14 | GAYANT Martial | 69 |
| 23 | WINNEN Peter | 60 |
| 28 | BARONCHELLI Gianbattista | 72 |
| 29 | CAROLI Daniele | 77 |
| 31 | SARONNI Giuseppe | 65 |
| 32 | MARTINELLI Giuseppe | 74 |
| 33 | GAVAZZI Pierino | 67 |
| 36 | NILSSON Sven-Åke | 63 |
| 38 | HINAULT Bernard | 62 |
| 46 | FIGNON Laurent | 67 |
| 54 | VANDI Alfio | 64 |
| 77 | CHEVALLIER Philippe | 69 |