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 = 0.9 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SANLAVILLE Mathias | 61 |
| 4 | ARVANITOU Nikiforos | 71 |
| 5 | KESS Alexandre | 70 |
| 6 | NAGENGAST Ruud Junior | 62 |
| 10 | AVONDTS Mathis | 62 |
| 13 | HEREMANS Joppe | 67 |
| 15 | KONINGS Roan | 69 |
| 16 | TACHOT Thomas | 61 |
| 20 | LARSSON David | 73 |
| 24 | ZAHÁLKA Štěpán | 69 |
| 29 | RAVNØY Johan | 78 |
| 30 | GRUPP Louis | 67 |
| 32 | MRÁZ Daniel | 66 |
| 34 | DAHLBLOM Acke | 62 |
| 36 | LENNARTSSON Hugo | 69 |
| 43 | POMORSKI Michał | 76 |