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 - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTUNATO Lorenzo | 57 |
| 2 | MADOUAS Valentin | 71 |
| 3 | VLASOV Aleksandr | 68 |
| 4 | TOUZÉ Damien | 69 |
| 5 | WARLOP Jordi | 71 |
| 6 | PER Gorazd | 68 |
| 7 | CARVALHO André | 66 |
| 8 | HALLER Patrick | 68 |
| 9 | MÜLLER Patrick | 74 |
| 11 | BOUHANNI Rayane | 70 |
| 12 | KURIANOV Stepan | 74 |
| 13 | BAX Sjoerd | 78 |
| 14 | CORNELISSE Mitchell | 73.5 |
| 15 | STOKBRO Andreas | 70 |