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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Cristián | 59 |
| 2 | RUIZ Ibon | 65 |
| 3 | OKAMIKA Ander | 70 |
| 4 | POLANC Jan | 62 |
| 5 | EVENEPOEL Remco | 63 |
| 6 | VINGEGAARD Jonas | 58 |
| 7 | YATES Adam | 58 |
| 8 | THOMAS Geraint | 71 |
| 10 | HOULE Hugo | 72 |
| 11 | ROGLIČ Primož | 65 |
| 12 | AMEZQUETA Julen | 63 |
| 13 | MAS Enric | 61 |
| 14 | GEOGHEGAN HART Tao | 65 |