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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRONG Corbin | 63 |
| 2 | FRAILE Omar | 72 |
| 4 | SERRANO Gonzalo | 65 |
| 5 | PIDCOCK Thomas | 58 |
| 6 | TEUNS Dylan | 64 |
| 8 | ONLEY Oscar | 62 |
| 9 | CHARMIG Anthon | 66 |
| 10 | ZANA Filippo | 65 |
| 11 | STEWART Jake | 66 |
| 12 | PAASSCHENS Mathijs | 75 |
| 13 | TOWNSEND Rory | 73 |
| 14 | GROßSCHARTNER Felix | 64 |
| 15 | SUNDERLAND Dylan | 67 |