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 = 0.7 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOZONTCHUK Dmitry | 75 |
| 2 | GERDEMANN Linus | 71 |
| 7 | CLEMENT Stef | 66 |
| 9 | GOTTFRIED Alexander | 60 |
| 13 | LEEZER Tom | 76 |
| 15 | BRAMMEIER Matt | 72 |
| 21 | ELIJZEN Michiel | 80 |
| 25 | LIESE Thomas | 75 |
| 33 | GAJEK Artur | 74 |
| 37 | CLANCY Edward | 79 |
| 39 | ESTADIEU Laurent | 67 |
| 43 | MARTIN Tony | 75 |
| 45 | MILÁN Diego | 67 |
| 55 | CAVENDISH Mark | 70 |
| 57 | KUX Christian | 74 |
| 66 | LINCOLN Yannick | 75 |