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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLANO Juan Sebastián | 72 |
| 2 | VALLÉE Boris | 79 |
| 4 | BOUGLAS Georgios | 71 |
| 5 | CATAFORD Alexander | 70 |
| 6 | MARTINEZ Yannick | 69 |
| 7 | ÁVILA Edwin | 61 |
| 10 | GROŠELJ Matic | 70 |
| 11 | BONIFAZIO Leonardo | 63 |
| 14 | TESFATSION Natnael | 60 |
| 16 | MOSCA Jacopo | 65 |
| 17 | DEBESAY Yakob | 63 |
| 18 | KENNETT Dylan | 75 |
| 19 | TUREK Daniel | 72 |
| 20 | HILL Benjamin | 67 |
| 21 | MARECZKO Jakub | 67 |