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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BICHLMANN Daniel | 72 |
4 | MUGISHA Samuel | 62 |
10 | STRAVERS Jarri | 73 |
12 | KELLER Hermann | 80 |
25 | MERSEBURG Dominik | 75 |
29 | LAGAB Azzedine | 63 |
31 | KHAFI Oussama | 65 |
33 | DE BOES Timmy | 83 |
35 | SLOOTJES Jordi | 70 |
50 | VANDYCK Niels | 64 |
55 | HANDGRAAF Sjors | 66 |