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 + 29
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GILSON Roger | 70 |
| 5 | OVION Régis | 64 |
| 14 | PIJNEN René | 72 |
| 20 | VAN DEN HOEK Aad | 77 |
| 25 | GAIDA Alfred | 65 |
| 29 | DUCREUX Daniel | 65 |
| 31 | HINAULT Bernard | 62 |
| 32 | BOURREAU Bernard | 63 |
| 35 | POULIDOR Raymond | 71 |
| 41 | TSCHAN Jürgen | 68 |
| 44 | BRACKE Ferdinand | 79 |
| 54 | VAN IMPE Lucien | 59 |
| 65 | MOURIOUX Jacques | 71 |
| 74 | MORTENSEN Leif | 70 |