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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKJELMOSE Mattias | 65 |
| 2 | VACEK Karel | 60 |
| 4 | NONNEZ Théo | 63 |
| 6 | BAGIOLI Andrea | 60 |
| 9 | PONSAERTS Thibaut | 61 |
| 10 | LEKNESSUND Andreas | 72 |
| 11 | LOUVEL Matis | 77 |
| 12 | KLUCKERS Arthur | 71 |
| 13 | HOOLE Daan | 81 |
| 14 | FEDOROV Yevgeniy | 80 |
| 16 | ZANA Filippo | 65 |
| 17 | ŠTOČEK Matúš | 80 |