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 = 1.8 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 20 | BARONCHELLI Gianbattista | 72 |
| 28 | KELLY Sean | 77 |
| 30 | WINNEN Peter | 60 |
| 34 | DELGADO Pedro | 64 |
| 37 | MUJIKA Jokin | 73 |
| 40 | HERRERA Luis Alberto | 57 |
| 43 | BERNAUDEAU Jean-René | 64 |
| 49 | DUCLOS-LASSALLE Gilbert | 73 |
| 72 | BITTINGER René | 69 |
| 89 | FERNÁNDEZ Juan | 68 |
| 90 | DE WOLF Fons | 75 |
| 91 | DE ROOIJ Theo | 69 |
| 93 | YATES Sean | 74 |
| 112 | INDURÁIN Miguel | 76 |
| 136 | PLANCKAERT Eddy | 69 |