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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARUSO Damiano | 67 |
| 2 | GENIEZ Alexandre | 68 |
| 3 | BONNAFOND Guillaume | 68 |
| 4 | SILIN Egor | 61 |
| 5 | KIREYEV Roman | 66 |
| 6 | BUTLER Chris | 61 |
| 8 | BENEDETTI Cesare | 63 |
| 9 | RATTO Daniele | 74 |
| 10 | PONZI Simone | 63 |
| 11 | PIRAZZI Stefano | 62 |
| 12 | BALLONI Alfredo | 72 |
| 15 | KONRAD Patrick | 64 |
| 16 | SEUBERT Timon | 73 |
| 21 | KRIZEK Matthias | 74 |
| 23 | KRISTOFF Alexander | 78 |