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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TULETT Ben | 56 |
| 2 | HAYTER Ethan | 70 |
| 3 | DUNBAR Eddie | 57 |
| 4 | SCHMID Mauro | 70 |
| 5 | SOBRERO Matteo | 63 |
| 6 | HIRSCHI Marc | 61 |
| 7 | ULISSI Diego | 63 |
| 8 | TESFATSION Natnael | 60 |
| 9 | CARR Simon | 66 |
| 10 | CONCI Nicola | 68 |
| 11 | VAN DER POEL Mathieu | 75 |
| 12 | TIBERI Antonio | 62 |
| 13 | UIJTDEBROEKS Cian | 68 |
| 15 | BRAMBILLA Gianluca | 57 |