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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | DE CLERCQ Mario | 66 |
5 | DE WILDE Etienne | 70 |
6 | EKIMOV Viatcheslav | 69 |
7 | HOLM SØRENSEN Brian | 77 |
10 | SCIANDRI Maximilian | 75 |
12 | FARAZIJN Peter | 69 |
13 | WELTZ Johnny | 65 |
20 | GAYANT Martial | 69 |
24 | JEKER Fabian | 72 |
25 | GLAUS Gilbert | 67 |