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 + 53
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HINAULT Bernard | 62 |
| 5 | POULIDOR Raymond | 71 |
| 9 | OVION Régis | 64 |
| 12 | BRACKE Ferdinand | 79 |
| 13 | PIJNEN René | 72 |
| 20 | VAN DEN HOEK Aad | 77 |
| 22 | VAN IMPE Lucien | 59 |
| 23 | MORTENSEN Leif | 70 |
| 26 | TSCHAN Jürgen | 68 |
| 33 | BOURREAU Bernard | 63 |
| 42 | GAIDA Alfred | 65 |
| 45 | MOURIOUX Jacques | 71 |
| 63 | GILSON Roger | 70 |
| 64 | DUCREUX Daniel | 65 |