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 + 127
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | WINNEN Peter | 60 |
| 4 | LEMOND Greg | 67 |
| 14 | SERGEANT Marc | 76 |
| 26 | MADIOT Marc | 68 |
| 35 | FIGNON Laurent | 67 |
| 37 | DE ROOIJ Theo | 69 |
| 46 | GAYANT Martial | 69 |
| 60 | DEMIERRE Serge | 70 |
| 68 | POLLENTIER Michel | 62 |
| 70 | BITTINGER René | 69 |
| 79 | GLAUS Gilbert | 67 |