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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VAN DEN BERGHE René | 65 |
2 | DEFRAEYE Odiel | 67 |
3 | PÉLISSIER Henri | 72 |
4 | BLAISE André | 72 |
5 | LETURGIE Maurice | 69 |
6 | LAMON Robert | 57 |
8 | PETITJEAN Luc | 62 |
9 | HEUSGHEM Louis | 79 |
10 | CHRISTOPHE Eugène | 67 |
12 | LÉONARD Edouard | 69 |
14 | SPIESSENS Alfons | 72 |
15 | DEVROYE Henri | 62 |
16 | PETITJEAN Louis | 66 |
17 | COOLSAET Louis | 73 |
20 | LELIAERT Maurice | 79 |
22 | D'HAEN François | 61 |