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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DEFRAEYE Odiel | 67 |
2 | PÉLISSIER Henri | 72 |
3 | BLAISE André | 72 |
4 | CHRISTOPHE Eugène | 67 |
5 | LAMON Robert | 57 |
7 | DUPONT Albert | 68 |
8 | LAMBOT Firmin | 69 |
9 | ALAVOINE Jean | 73 |
10 | HEUSGHEM Hector | 86 |
11 | VAN DEN BERGHE René | 65 |
12 | VAN DE VELDE Pierre | 69 |
13 | DEVROYE Henri | 62 |
14 | PETITJEAN Louis | 66 |
16 | EVERAERTS Pierre | 66 |
17 | VAN LERBERGHE Henri | 79 |