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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 61 |
| 2 | PLAPP Luke | 72 |
| 3 | SHEFFIELD Magnus | 73 |
| 4 | UIJTDEBROEKS Cian | 68 |
| 6 | VERMAERKE Kevin | 67 |
| 7 | HEALY Ben | 65 |
| 8 | HESSMANN Michel | 78 |
| 9 | STRONG Corbin | 63 |
| 10 | BERCKMOES Jenno | 61 |
| 11 | WANDAHL Frederik | 61 |
| 12 | VERNON Ethan | 74 |
| 13 | GUDNITZ Joshua | 69 |
| 14 | MURGUIALDAY Jokin | 57 |
| 15 | EDDY Patrick | 79 |