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 = -1.7 * weight + 138
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | INDURÁIN Miguel | 76 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | YATES Sean | 74 |
| 6 | KELLY Sean | 77 |
| 10 | BARONCHELLI Gianbattista | 72 |
| 25 | WINNEN Peter | 60 |
| 32 | BERNAUDEAU Jean-René | 64 |
| 41 | DE ROOIJ Theo | 69 |
| 43 | DE WOLF Fons | 75 |
| 44 | DELGADO Pedro | 64 |