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 | BOS Theo | 77 |
| 2 | WANG Meiyin | 70 |
| 3 | COQUARD Bryan | 59 |
| 4 | GUARDINI Andrea | 66 |
| 5 | VON HOFF Steele | 70 |
| 9 | CHICCHI Francesco | 76 |
| 10 | FUKUSHIMA Shinichi | 62 |
| 14 | FENN Andrew | 79 |
| 15 | KRUOPIS Aidis | 80 |
| 16 | SALEH Mohd Harrif | 70 |
| 17 | ARREDONDO Julián David | 58 |
| 18 | VAN EMDEN Jos | 78 |
| 19 | SCHNAIDT Fabian | 70 |
| 20 | TLEUBAYEV Ruslan | 70 |