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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 3 | KOLAHDOZHAGH Amir | 60 |
| 7 | KIM Ok Cheol | 70 |
| 8 | PARK Sang-Hoon | 77 |
| 9 | LAVERACK Edward | 62 |
| 11 | LEUNG Chun Wing | 73 |
| 16 | CHERHAL Corentin | 60 |
| 17 | YOKOYAMA Kota | 57 |
| 20 | MARINI Nicolas | 72 |
| 24 | DE KEIJZER Gerd | 72.6 |