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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CHEVRIER Clément | 56 |
2 | DÉMARE Arnaud | 76 |
4 | DURET Sébastien | 62 |
7 | VACHON Florian | 65 |
9 | VILLA Romain | 71 |
11 | MAURELET Flavien | 56 |
16 | CRAVEN Dan | 75 |
21 | DRUJON Mathieu | 75 |
23 | BARDET Romain | 65 |