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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | HINAULT Bernard | 62 |
| 5 | DEMEYER Marc | 85 |
| 6 | DE WOLF Fons | 75 |
| 15 | KUIPER Hennie | 69 |
| 16 | NILSSON Sven-Åke | 63 |
| 18 | BITTINGER René | 69 |
| 19 | BERNAUDEAU Jean-René | 64 |
| 21 | HOSTE Frank | 76 |
| 22 | OVION Régis | 64 |