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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | NAZON Jean-Patrick | 74 |
3 | TOMBAK Janek | 71 |
4 | SCHMIDT Torsten | 73 |
7 | DE GROOT Bram | 65 |
8 | CRETSKENS Wilfried | 75 |
9 | GABRIEL Frédéric | 60 |
10 | THIJS Erwin | 69 |
11 | ŁUKASZEWICZ Czesław | 63 |
12 | BEUCHAT Roger | 62 |
13 | NAZON Damien | 68 |
14 | AUGÉ Stéphane | 65 |