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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALMEIDA João | 63 |
| 2 | HOEHN Alex | 63 |
| 3 | LÓPEZ Juan Pedro | 60 |
| 4 | VERMAERKE Kevin | 67 |
| 5 | ANDERSON Edward | 70 |
| 6 | VOLLMER Andrew | 67 |
| 7 | BAUER Dominik | 67 |
| 8 | SCHUNK Conor | 65 |
| 9 | ROJAS Gabriel Francisco | 59 |
| 10 | BICKMORE Cade | 74 |
| 11 | LINDORFF Tyler | 60 |
| 12 | DEBEAUMARCHÉ Nicolas | 75 |