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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BERGHE René | 65 |
| 2 | LETURGIE Maurice | 69 |
| 3 | CHRISTOPHE Eugène | 67 |
| 5 | BLAISE André | 72 |
| 6 | PETITJEAN Louis | 66 |
| 7 | LAMON Robert | 57 |
| 9 | DEVROYE Henri | 62 |
| 10 | DEFRAEYE Odiel | 67 |
| 11 | PÉLISSIER Henri | 72 |
| 13 | LÉONARD Edouard | 69 |
| 14 | HEUSGHEM Louis | 79 |
| 17 | PETITJEAN Luc | 62 |
| 19 | D'HAEN François | 61 |
| 20 | LELIAERT Maurice | 79 |