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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | LAMPERTI Luke | 74 |
2 | BOURGOYNE Lucas | 66 |
4 | SCHANDORFF IWERSEN Emil | 62 |
5 | PICKRELL Riley | 72 |
6 | RICCITELLO Matthew | 55 |
7 | CARREAU Lukas | 68 |
18 | GUILLEMETTE Mathias | 73 |
20 | SELIVERT Fabien | 61 |
25 | HERTZ Benjamin | 68 |
30 | JUSSAUME Tristan | 70 |