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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ČERNÝ Josef | 75 |
| 5 | SISR František | 72 |
| 7 | RUYTERS Brecht | 69 |
| 10 | SPOKES Samuel | 63 |
| 11 | MCCORMICK Hayden | 72.5 |
| 13 | BOROŠ Michael | 69 |
| 14 | VAN BREUSSEGEM Elias | 68 |
| 15 | VAN GESTEL Dries | 74 |
| 16 | DVORSKY David | 64 |
| 17 | KASPERKIEWICZ Przemysław | 71 |
| 20 | PIBERNIK Luka | 60 |