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 + 65
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | BARONCHELLI Gianbattista | 72 |
| 11 | DE ROOIJ Theo | 69 |
| 14 | BERNAUDEAU Jean-René | 64 |
| 22 | DELGADO Pedro | 64 |
| 56 | PLANCKAERT Eddy | 69 |
| 58 | DE WOLF Fons | 75 |
| 79 | DUCLOS-LASSALLE Gilbert | 73 |
| 98 | HERRERA Luis Alberto | 57 |
| 109 | MUJIKA Jokin | 73 |
| 111 | FERNÁNDEZ Juan | 68 |
| 116 | INDURÁIN Miguel | 76 |