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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADOUAS Valentin | 71 |
| 2 | TOUZÉ Damien | 69 |
| 3 | CARVALHO André | 66 |
| 4 | FORTUNATO Lorenzo | 57 |
| 5 | MÜLLER Patrick | 74 |
| 6 | WARLOP Jordi | 71 |
| 7 | BOUHANNI Rayane | 70 |
| 8 | CORNELISSE Mitchell | 73.5 |
| 10 | ROSTOVTSEV Sergey | 73 |