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 = 0.4 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MOSER Francesco | 79 |
| 7 | FIGNON Laurent | 67 |
| 8 | DEMIERRE Serge | 70 |
| 9 | LEMOND Greg | 67 |
| 11 | FERNÁNDEZ Juan | 68 |
| 13 | SARONNI Giuseppe | 65 |
| 15 | DE WOLF Fons | 75 |
| 20 | VANDI Alfio | 64 |
| 25 | HINAULT Bernard | 62 |
| 28 | PRIM Tommy | 76 |
| 33 | MADIOT Marc | 68 |
| 34 | VAN IMPE Lucien | 59 |
| 42 | CHEVALLIER Philippe | 69 |
| 59 | VAN VLIET Leo | 65 |
| 107 | PRIEM Cees | 75 |